Source: https://ailoot.ai/models/en/openai-gpt-6-astra-pro/ Canonical: https://ailoot.ai/models/en/openai-gpt-6-astra-pro/ Language: en # OpenAI: GPT-6 Astra Pro [Markdown](https://ailoot.ai/models/en/openai-gpt-6-astra-pro/index.md) · [JSON](https://ailoot.ai/models/en/openai-gpt-6-astra-pro/facts.json) ## [OpenAI: GPT-6 Astra Pro](https://ailoot.ai/models/en/openai-gpt-6-astra-pro/) GPT-6 Astra with Pro reasoning for demanding research, coding and professional work. Pro adds model work before the final answer; the base model accepts text and images and supports multi-step work in a tool-connected environment. - [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/openai-gpt-6-astra-pro/#method-0) - [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/openai-gpt-6-astra-pro/#method-1) - [**Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/openai-gpt-6-astra-pro/#method-2) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. GPT-6 Astra Pro denotes OpenAI’s GPT-6 Astra with Pro reasoning. The base Astra model is designed for demanding reasoning, coding, research, computer use and professional work. It accepts text and images and produces text. Pro adds model work when developing the final answer, while reasoning effort controls the amount of analysis within the chosen execution mode. Pro changes the execution mode while GPT-6 Astra remains the underlying model. The manufacturer’s Astra release describes workflows that turn relevant material into documents, spreadsheets, presentations and analysis. It emphasizes following templates and writing or visual style while selecting the context that matters to the task. For a professional document, provide the source material, the template requirements and the decision the reader needs to make. An illustrative request is to reconcile two sets of project requirements and produce a brief that separates agreed facts, conflicting evidence and the conditions for a recommendation. For engineering or research work, specify the objective, the evidence to inspect and what would count as completion. A coding task can include the required behavior, related files and constraints; a research task can include the question and the criteria for weighing the supplied material. Astra’s documented computer-use and browsing capabilities connect the model’s decisions with an environment that supplies the corresponding tools. The environment’s actual outputs are evidence for the next step, distinct from the model’s proposed actions. OpenAI’s GPT-6 Astra specification lists a 1,050,000-token context window, a maximum input of 922,000 tokens and a maximum output of 128,000 tokens, with a knowledge cutoff of April 30, 2026. Its reasoning-effort choices are low, medium, high, xhigh and max; none is unsupported. Reasoning tokens and the visible result both occupy context space. OpenAI documents Pro in the Responses API for difficult work that can accommodate additional latency and model activity; mode and effort remain independent settings. The base model lists streaming, Structured Outputs, function calling, web and file search, image-generation tooling, code interpretation, hosted shell and patch operations, skills, computer use, MCP connections and tool search. Function calling uses the producer’s Responses interface. The GPT-6 guide also describes asynchronous tool work and steering an active turn. Applications execute their own operations, manage pending work and return the resulting information; the model’s own output remains text even when a separate tool creates another artifact. The Astra release describes adapting to new requirements while keeping the broader goal in view. It also distinguishes defensive code review and patching from advanced exploit-development work, which the model may refuse, and describes automatic checks that can interrupt a task. Prepare a request around the intended result, permitted work and evidence, rather than treating extra reasoning as a substitute for missing source material. A useful final artifact states the conclusion or proposed change, its basis in the supplied information and any question that would materially alter the decision. Practical task ### Reconcile conflicting launch requirements Technical example in English ``` Reconcile conflicting launch requirements Write a decision brief using this template: Decision needed; Agreed facts; Conflict; Recommendation conditions. Product requirement P1 says launch must include CSV export. Security requirement S1 prohibits exporting customer email addresses. Current design D1 exports name and email only. Reconcile the requirements, propose a compliant export scope and list the decision still needed about useful fields. ``` #### Expected result ``` A brief under the four supplied headings, with P1, S1 and D1 references beside relevant findings. ``` #### Check the result ``` Check that the proposed scope preserves an export feature while excluding emails and does not invent an approved field list. ``` **Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `openai/gpt-6-astra-pro` [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=chat) OpenAI /`openai/gpt-6-astra-pro` ### Overview GPT-6 Astra with Pro reasoning for demanding research, coding and professional work. Pro adds model work before the final answer; the base model accepts text and images and supports multi-step work in a tool-connected environment. Accepted inputs Text Results Text ### Available in Ailoot · inputs & methods **Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` Input types `text` Output types `text` Output format json or SSE | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits openai/gpt-6-astra-pro | Default— | | Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— | | Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Examples: system, user, assistant, tool, function Conditions: These roles are explicitly represented by Source compatibility types; the exact model role set remains model-specific. Model-specific | Default— | | Field`messages[].content` | Type`string\|content_part[]\|null` | RequirementOptional | Values & limits | Default— | | Field`messages[].tool_calls` | Type`tool_call[]` | RequirementOptional | Values & limits | Default— | | Field`messages[].tool_call_id` | Type`string` | RequirementOptional | Values & limits Applies when: role=tool; use actual returned ID | Default— | | Field`messages[].name` | Type`string` | RequirementOptional | Values & limits | Default— | | Field`messages[].reasoning_content` | Type`string` | RequirementOptional | Values & limits Applies when: Round-trip actual returned reasoning where this model uses it | Default— | | Field`messages[].reasoning_details` | Type`object\|array` | RequirementOptional | Values & limits Model-specific | Default— | | Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— | | Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse | | Field`stream_options.include_usage` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— | | Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— | | Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— | | Field`stop` | Type`string\|string[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`tools` | Type`function_tool[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`tools[].type` | Type`string` | RequirementOptional | Values & limits function Model-specific | Default— | | Field`tools[].function.name` | Type`string` | RequirementRequired | Values & limits Applies when: function tool supplied | Default— | | Field`tools[].function.description` | Type`string` | RequirementOptional | Values & limits | Default— | | Field`tools[].function.parameters` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— | | Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— | | Field`response_format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`reasoning_effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`reasoning` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`instructions` | Type`string` | RequirementOptional | Values & limits Compatibility field | Default— | | Field`functions` | Type`function[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`function_call` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`modalities` | Type`string[]` | RequirementOptional | Values & limits text | Default— | | Field`provider` | Type`object` | RequirementOptional | Values & limits Conditions: provider.options is rejected on this Ultra text route | Default— | | Field`cache_control.ttl` | Type`string` | RequirementOptional | Values & limits Conditions: 1h is rejected in actual prompt-cache locations | Default— | Input material combinations **Text** · UTF8 text `messages[].content` Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, messages | | Parameter`material_types` | Contracttext | | Parameter`messages` | Contractmessage array with role/content shape | | Parameter`file_material` | Contractactual UTF-8 document inserted as literal text; no file ID inferred | | Parameter`optional_controls` | Contractstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice | | Parameter`control_scope` | Contractmodel-specific; user function tools differ from hosted tools | | Parameter`output_modalities` | Contracttext | | Parameter`hosted_operations` | Contractfalse | | Parameter`multimodal_input_binding` | Contractnull | Lifecycle: `synchronous_or_streamed` Send exact model ID with messages. Context length is not an output cap. A text file may supply literal text; image/audio/file-object inputs need exact binding. ### Pricing Tariff references do not add request options. Supported parameters are listed for the selected method. Fast mode Standard rate When fast mode is selected Flex mode Standard rate When flex mode is selected Maximum reasoning effort Standard rate When maximum reasoning effort uses the default adjustment Reasoning effort · high Standard rate When reasoning effort is high Reasoning effort · low Standard rate When reasoning effort is low Reasoning effort · max Standard rate When reasoning effort is max Reasoning effort · medium Standard rate When reasoning effort is medium Reasoning effort · xhigh Standard rate When reasoning effort is xhigh #### Ailoot rates #### Prices by configuration Match each charge to the conditions shown. Use one rate for each set of alternative configurations. | Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge | | --- | --- | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | | ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | | ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · OpenAI Chat curlPython SDKPython stream ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model": "openai/gpt-6-astra-pro", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}') Path("request.json").write_text(json.dumps(p,ensure_ascii=False)) PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \ -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import json from pathlib import Path r=json.loads(Path("result.json").read_text()) for x in r.get("choices",[]): if x.get("message",{}).get("content"): print(x["message"]["content"]) PY_RESULT ``` ```python from openai import OpenAI import os if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request") client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0) result=client.chat.completions.create(model='openai/gpt-6-astra-pro',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) import base64, json from pathlib import Path def save_result(data, stem="result"): # Keep every field, including usage, IDs, reasoning and tool requests. Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8") print(json.dumps(data, ensure_ascii=False, indent=2)) def save_blob(encoded, suffix, label): raw = base64.b64decode(encoded, altchars=b"-_", validate=True) ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix file = Path(stem + "-" + label + "." + ext) file.write_bytes(raw) print("Saved", file) for index, block in enumerate(data.get("content") or []): print("Content", index, json.dumps(block, ensure_ascii=False)) for choice in data.get("choices") or []: print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False)) for index, item in enumerate(data.get("output") or []): print("Output", index, json.dumps(item, ensure_ascii=False)) if item.get("type") == "image_generation_call" and item.get("result"): save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index)) for ci, candidate in enumerate(data.get("candidates") or []): for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []): print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False)) blob = part.get("inlineData") or part.get("inline_data") if blob and blob.get("data"): mime = blob.get("mimeType") or blob.get("mime_type") suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin") save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi)) save_result(result.to_dict(mode="json")) ``` ```python from openai import OpenAI import os from pathlib import Path if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request") client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0) import base64, json from pathlib import Path def save_result(data, stem="result"): # Keep every field, including usage, IDs, reasoning and tool requests. Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8") print(json.dumps(data, ensure_ascii=False, indent=2)) def save_blob(encoded, suffix, label): raw = base64.b64decode(encoded, altchars=b"-_", validate=True) ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix file = Path(stem + "-" + label + "." + ext) file.write_bytes(raw) print("Saved", file) for index, block in enumerate(data.get("content") or []): print("Content", index, json.dumps(block, ensure_ascii=False)) for choice in data.get("choices") or []: print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False)) for index, item in enumerate(data.get("output") or []): print("Output", index, json.dumps(item, ensure_ascii=False)) if item.get("type") == "image_generation_call" and item.get("result"): save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index)) for ci, candidate in enumerate(data.get("candidates") or []): for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []): print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False)) blob = part.get("inlineData") or part.get("inline_data") if blob and blob.get("data"): mime = blob.get("mimeType") or blob.get("mime_type") suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin") save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi)) with client.chat.completions.stream(model='openai/gpt-6-astra-pro',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream: with Path("stream-events.jsonl").open("w",encoding="utf-8") as log: for event in stream: payload=event.to_dict(mode="json") log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush() print(json.dumps(payload,ensure_ascii=False)) final=stream.get_final_completion() save_result(final.to_dict(mode="json"),"stream-result") ``` ### Receive and save results #### Ailoot Ultra · OpenAI Chat json or SSE ##### Keep all completed results Keep every complete returned response, file and content part. Keep every choice and its content/tool calls/reasoning. In SSE assemble deltas by choice/tool index, retain the final finish reason and usage. ##### If the original response needs checking Keep request/response IDs and headers. No generic text job retrieval URL is supplied. Response fields | Field | Type | | --- | --- | | Field`choices[].index` | Typeinteger | | Field`choices[].message.content` | Typestring\|null | | Field`choices[].message.tool_calls` | Typetool\_call\[\] | | Field`choices[].message.reasoning_content` | Typestring | | Field`choices[].message.reasoning_details` | Typeobject\|array | | Field`choices[].finish_reason` | Typestring\|null | | Field`usage` | Typeobject | Errors and next steps | Response | Condition | Next step | | --- | --- | --- | | Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. | ### Aliases #### Model aliases **Ailoot Ultra** [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=chat) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=chat) **Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `openai/gpt-6-astra-pro` [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=messages) OpenAI /`openai/gpt-6-astra-pro` ### Overview GPT-6 Astra with Pro reasoning for demanding research, coding and professional work. Pro adds model work before the final answer; the base model accepts text and images and supports multi-step work in a tool-connected environment. Accepted inputs Text Results Text ### Available in Ailoot · inputs & methods **Ailoot Ultra · Anthropic Messages** `POST /v1/messages` Input types `text` Output types `text` Output format json or SSE | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits openai/gpt-6-astra-pro | Default— | | Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— | | Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— | | Field`messages[].content` | Type`string\|content_block[]` | RequirementRequired | Values & limits | Default— | | Field`system` | Type`string\|content_block[]` | RequirementOptional | Values & limits | Default— | | Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits Minimum: 1 Limit applies to: exact selected model/card ceiling | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse | | Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— | | Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— | | Field`stop_sequences` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`tools[].name` | Type`string` | RequirementOptional | Values & limits Applies when: tool supplied | Default— | | Field`tools[].description` | Type`string` | RequirementOptional | Values & limits | Default— | | Field`tools[].input_schema` | Type`JSON_schema` | RequirementOptional | Values & limits | Default— | | Field`tool_choice` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`thinking.type` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`thinking.budget_tokens` | Type`integer` | RequirementOptional | Values & limits Model-specific | Default— | | Field`output_config.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`metadata` | Type`object` | RequirementOptional | Values & limits | Default— | | Field`cache_control` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | Input material combinations **Text** · UTF8 text `messages[].content or type=text block` **Text + image** `{type:image,source:{type:base64,media_type,data}} or source type=url` Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`material_types` | Contracttext | | Parameter`required` | Contractmodel, messages, max\_tokens | | Parameter`optional_controls` | Contractnull | | Parameter`content_type` | Contractapplication/json | | Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. | Lifecycle: `exact retained published method` Send the exact model ID and required fields. Keep every returned item and its original identifiers. ### Pricing Tariff references do not add request options. Supported parameters are listed for the selected method. Fast mode Standard rate When fast mode is selected Flex mode Standard rate When flex mode is selected Maximum reasoning effort Standard rate When maximum reasoning effort uses the default adjustment Reasoning effort · high Standard rate When reasoning effort is high Reasoning effort · low Standard rate When reasoning effort is low Reasoning effort · max Standard rate When reasoning effort is max Reasoning effort · medium Standard rate When reasoning effort is medium Reasoning effort · xhigh Standard rate When reasoning effort is xhigh #### Ailoot rates #### Prices by configuration Match each charge to the conditions shown. Use one rate for each set of alternative configurations. | Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge | | --- | --- | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | | ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | | ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Anthropic Messages Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result ```json { "model": "openai/gpt-6-astra-pro", "max_tokens": 4096, "messages": [ { "role": "user", "content": "Summarize the incident report." } ] } ``` ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" : "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}" export AILOOT_TEXT_FILE python3 - <<'PY_REQUEST' import json, os from pathlib import Path source_file = Path(os.environ['AILOOT_TEXT_FILE']) if not source_file.is_file(): raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document') text = source_file.read_text(encoding='utf-8') if not text.strip(): raise SystemExit('Choose a document containing text') payload = {'model': 'openai/gpt-6-astra-pro', 'max_tokens': 4096, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]} payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8') PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \ -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import json from pathlib import Path result = json.loads(Path('result.json').read_text(encoding='utf-8')) print(json.dumps(result, ensure_ascii=False, indent=2)) PY_RESULT ``` ```python import json, os from pathlib import Path source_file = Path(os.environ['AILOOT_TEXT_FILE']) if not source_file.is_file(): raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document') text = source_file.read_text(encoding='utf-8') if not text.strip(): raise SystemExit('Choose a document containing text') payload = {'model': 'openai/gpt-6-astra-pro', 'max_tokens': 4096, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]} payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text from urllib.request import Request, urlopen from urllib.error import HTTPError api_key = os.environ['AILOOT_API_KEY'] if not api_key.strip(): raise SystemExit('Set AILOOT_API_KEY before making a request') headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'} headers['x-api-key'] = api_key request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST') try: with urlopen(request, timeout=120) as response: raw = response.read() Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8') except HTTPError as error: Path('result.json').write_bytes(error.read()) Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8') raise Path('result.json').write_bytes(raw) import json from pathlib import Path result = json.loads(Path('result.json').read_text(encoding='utf-8')) print(json.dumps(result, ensure_ascii=False, indent=2)) ``` ### Receive and save results #### Ailoot Ultra · Anthropic Messages json or SSE ##### Keep all completed results Keep every complete returned response, file and content part. Keep all content blocks, thinking signatures and actual tool-use IDs. Assemble all SSE block deltas; a first text block is not the complete output. ##### If the original response needs checking Keep request/response IDs and headers. No generic text job retrieval URL is supplied. Response fields | Field | Type | | --- | --- | | Field`id` | Typestring | | Field`model` | Typestring | | Field`content[]` | Typetext\|thinking\|tool\_use\|other content block | | Field`stop_reason` | Typestring\|null | | Field`usage` | Typeobject | Errors and next steps | Response | Condition | Next step | | --- | --- | --- | | Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. | ### Aliases #### Model aliases **Ailoot Ultra** [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=messages) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=messages) **Ailoot Ultra · OpenAI Responses** `POST /v1/responses` `openai/gpt-6-astra-pro` [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=responses) OpenAI /`openai/gpt-6-astra-pro` ### Overview GPT-6 Astra with Pro reasoning for demanding research, coding and professional work. Pro adds model work before the final answer; the base model accepts text and images and supports multi-step work in a tool-connected environment. Accepted inputs Text Results Text ### Available in Ailoot · inputs & methods **Ailoot Ultra · OpenAI Responses** `POST /v1/responses` Input types `text` Output types `text` Output format json or SSE | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits openai/gpt-6-astra-pro | Default— | | Field`input` | Type`string\|input_item[]` | RequirementRequired | Values & limits | Default— | | Field`instructions` | Type`string` | RequirementOptional | Values & limits | Default— | | Field`input[].type` | Type`string` | RequirementOptional | Values & limits message, reasoning, function\_call, function\_call\_output | Default— | | Field`input[].content` | Type`string\|content_part[]` | RequirementOptional | Values & limits | Default— | | Field`input[].call_id` | Type`string` | RequirementOptional | Values & limits Applies when: function\_call\_output; retain actual returned call\_id | Default— | | Field`input[].output` | Type`string\|content_part[]` | RequirementOptional | Values & limits Applies when: function\_call\_output | Default— | | Field`max_output_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 Model-specific | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse | | Field`temperature` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— | | Field`top_p` | Type`number` | RequirementOptional | Values & limits Model-specific | Default— | | Field`tools` | Type`tool[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`tool_choice` | Type`string\|object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`parallel_tool_calls` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— | | Field`reasoning.effort` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`reasoning.summary` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`text.format` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | | Field`text.verbosity` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`include` | Type`string[]` | RequirementOptional | Values & limits Model-specific | Default— | | Field`store` | Type`boolean` | RequirementOptional | Values & limits Model-specific | Default— | | Field`previous_response_id` | Type`string` | RequirementNot supported | Values & limits ID requirement: Only an actual response ID from a supported continuation Conditions: Replay the actual conversation history with each request. | Default— | | Field`service_tier` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`prompt_cache_key` | Type`string` | RequirementOptional | Values & limits Model-specific | Default— | | Field`prompt_cache_options` | Type`object` | RequirementOptional | Values & limits Model-specific | Default— | Input material combinations **Text** · UTF8 text `input text or input_text part` **Text + image** `{type:input_image,image_url}` Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`material_types` | Contracttext | | Parameter`required` | Contractmodel, input | | Parameter`optional_controls` | Contractnull | | Parameter`content_type` | Contractapplication/json | | Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. | Lifecycle: `exact retained published method` Send the exact model ID and required fields. Keep every returned item and its original identifiers. ### Pricing Tariff references do not add request options. Supported parameters are listed for the selected method. Fast mode Standard rate When fast mode is selected Flex mode Standard rate When flex mode is selected Maximum reasoning effort Standard rate When maximum reasoning effort uses the default adjustment Reasoning effort · high Standard rate When reasoning effort is high Reasoning effort · low Standard rate When reasoning effort is low Reasoning effort · max Standard rate When reasoning effort is max Reasoning effort · medium Standard rate When reasoning effort is medium Reasoning effort · xhigh Standard rate When reasoning effort is xhigh #### Ailoot rates #### Prices by configuration Match each charge to the conditions shown. Use one rate for each set of alternative configurations. | Configuration | Rate schedule | Context tokens, more than | Context tokens, up to and including | Charge | | --- | --- | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Context tokens, more than— | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | | ConfigurationRequest-length tier 1 | Rate schedule— | Context tokens, more than0 | Context tokens, up to and including272,000 | Charge Input · Input tokens **$0.02** / 1K tokens Output · Output tokens **$0.1** / 1K tokens Input · Cache read **$0.002** / 1K tokens Input · Cache write **$0.025** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | | ConfigurationRequest-length tier 2 | Rate schedule— | Context tokens, more than272,000 | Context tokens, up to and includingNo upper bound | Charge Input · Input tokens **$0.04** / 1K tokens Output · Output tokens **$0.15** / 1K tokens Input · Cache read **$0.004** / 1K tokens Input · Cache write **$0.05** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · OpenAI Responses Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result ```json { "model": "openai/gpt-6-astra-pro", "input": [ { "content": "Hello, how are you?", "role": "user", "type": "message" } ] } ``` ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" : "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}" export AILOOT_TEXT_FILE python3 - <<'PY_REQUEST' import json, os from pathlib import Path source_file = Path(os.environ['AILOOT_TEXT_FILE']) if not source_file.is_file(): raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document') text = source_file.read_text(encoding='utf-8') if not text.strip(): raise SystemExit('Choose a document containing text') payload = {'model': 'openai/gpt-6-astra-pro', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]} payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8') PY_REQUEST curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \ -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \ --data-binary @request.json -D response-headers.txt -o result.json python3 - <<'PY_RESULT' import json from pathlib import Path result = json.loads(Path('result.json').read_text(encoding='utf-8')) print(json.dumps(result, ensure_ascii=False, indent=2)) PY_RESULT ``` ```python import json, os from pathlib import Path source_file = Path(os.environ['AILOOT_TEXT_FILE']) if not source_file.is_file(): raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document') text = source_file.read_text(encoding='utf-8') if not text.strip(): raise SystemExit('Choose a document containing text') payload = {'model': 'openai/gpt-6-astra-pro', 'input': [{'content': 'Hello, how are you?', 'role': 'user', 'type': 'message'}]} payload['input'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text from urllib.request import Request, urlopen from urllib.error import HTTPError api_key = os.environ['AILOOT_API_KEY'] if not api_key.strip(): raise SystemExit('Set AILOOT_API_KEY before making a request') headers = {'Authorization': 'Bearer PLACEHOLDER_KEY', 'Content-Type': 'application/json'} headers['Authorization'] = 'Bearer ' + api_key request = Request('https://api.ailoot.ai/v1/responses', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST') try: with urlopen(request, timeout=120) as response: raw = response.read() Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8') except HTTPError as error: Path('result.json').write_bytes(error.read()) Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8') raise Path('result.json').write_bytes(raw) import json from pathlib import Path result = json.loads(Path('result.json').read_text(encoding='utf-8')) print(json.dumps(result, ensure_ascii=False, indent=2)) ``` ### Receive and save results #### Ailoot Ultra · OpenAI Responses json or SSE ##### Keep all completed results Keep every complete returned response, file and content part. Keep every output item and content part, actual function call\_id, encrypted reasoning and usage. In streaming retain complete event/item identity. ##### If the original response needs checking Keep request/response IDs and headers. No generic text job retrieval URL is supplied. Response fields | Field | Type | | --- | --- | | Field`id` | Typestring | | Field`status` | Typestring | | Field`output[]` | Typemessage\|reasoning\|function\_call\|other item | | Field`output[].content[]` | Typecontent part | | Field`usage` | Typeobject | Errors and next steps | Response | Condition | Next step | | --- | --- | --- | | Response400 · `invalid_request_error` | ConditionInvalid required fields, material representation or parameter value | Next stepCorrect the indicated fields before a new creation request. | ### Aliases #### Model aliases **Ailoot Ultra** [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=responses) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`openai/gpt-6-astra-pro`](https://ailoot.ai/models/en/#m=openai%2Fgpt-6-astra-pro&route=Ultra&caller=openai%2Fgpt-6-astra-pro&fmt=responses) FAQ · OpenAI: GPT-6 Astra Pro What inputs and results are available? `POST /v1/chat/completions` · `openai/gpt-6-astra-pro`: `text` → `text` `POST /v1/messages` · `openai/gpt-6-astra-pro`: `text` → `text` `POST /v1/responses` · `openai/gpt-6-astra-pro`: `text` → `text` Which fields does the request use? `POST /v1/chat/completions` · `openai/gpt-6-astra-pro`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `openai/gpt-6-astra-pro`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `openai/gpt-6-astra-pro`: `model`, `input`, `instructions`, `stream` What limits apply? `POST /v1/chat/completions` · `openai/gpt-6-astra-pro`: `messages.min_items`: `1` `POST /v1/messages` · `openai/gpt-6-astra-pro`: `messages.min_items`: `1`; `max_tokens.minimum`: `1` Connect Ailoot to Claude Code, OpenCode, Hermes or your own app. ## The company and its project portfolio The company and its project portfolio: millions of customers; monthly sales in the billions. ## Buy tokens at a discount. Subscription discounts for regular use. Promo codes offer up to 50% off token purchases. Subscription Choose a discounted plan for your regular requests. Promo code: up to 50% off Enter your code at checkout. The price updates to reflect the current promotion. Spending in your history The model, tokens and amount are recorded for each request. [Choose a subscription](https://ailoot.ai/docs/en/billing/subscriptions/) · [View model prices](https://ailoot.ai/models/en/) ## Connect the API to a product you sell. Use Ailoot in SaaS, apps and bots under its official service offer and licence agreement. Request a reseller licence for resale. Commercial application Add text, image, video and audio generation to paid features in your service. Reseller licence Send a description of your project and how you provide access. Request written terms for use and resale. Documents on the website The service offer, licence agreement and data processing policy are available before you connect. [Request a reseller licence](mailto:support@ailoot.ai) · [Service offer and licence agreement](https://ailoot.ai/legal/offer?lang=en) ## Ailoot · The company and its project portfolio Ailoot combines established operating experience, a large client base, stable service and ongoing KPI control. The company and its project portfolio: millions of customers; monthly sales in the billions. Ailoot brings that operating experience to API access for AI features in customer products, agents, applications and automations.