Source: https://ailoot.ai/models/en/ernie-5-0-thinking-latest/ Canonical: https://ailoot.ai/models/en/ernie-5-0-thinking-latest/ Language: en # ernie-5.0-thinking-latest [Markdown](https://ailoot.ai/models/en/ernie-5-0-thinking-latest/index.md) · [JSON](https://ailoot.ai/models/en/ernie-5-0-thinking-latest/facts.json) ## [ernie-5.0-thinking-latest](https://ailoot.ai/models/en/ernie-5-0-thinking-latest/) ERNIE 5.0 Thinking combines deep reasoning, writing, visual understanding and tool-connected tasks. The documented Preview profile has 128K context, 119K maximum input and final-output settings up to 65,536 tokens, with a separate thinking budget. - [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/ernie-5-0-thinking-latest/#method-0) - [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/ernie-5-0-thinking-latest/#method-1) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. ERNIE 5.0 Thinking is Baidu’s reasoning-oriented model family for complex questions, writing, instruction following and application-connected tasks. The maker’s named Thinking Preview profile combines deep reasoning with visual understanding and support for planning and tool use. Its producer text-response workflow is distinct from treating the entire ERNIE 5.0 research family’s multimodal generation capabilities as one interchangeable request contract. #### Prepare evidence for the intended result State the question, the material that can be used and the conditions the answer must satisfy. A research comparison can define the criteria and request the evidence supporting each conclusion. A writing task can provide the audience, factual brief and desired structure. A coding question can identify the behavior to change and the relevant source fragment. Keep the final artifact specific enough to inspect. For visual understanding, supply material that makes the relevant feature clear and state the question about it. A chart or document image needs readable labels and the surrounding context that establishes what its values mean. Check important text and numerical details against the original material. The model’s visual-understanding purpose does not remove the need to preserve the source with the returned interpretation. #### The documented Preview budgets Baidu’s AI Studio table lists the Thinking Preview profile with 128K context and a 119K maximum input. The Chinese table gives final-output settings up to 65,536 tokens and a 2K default, and separately lists a 60K thinking length. Keep these allowances in their roles: the task context, the generated reasoning and the requested final response are different parts of a useful result. A large input allowance can hold related documents, while the requested answer should still match the decision or artifact needed. For a comparison, ask for a compact evidence table and the governing conclusion rather than repeating every supplied passage. For a technical answer, preserve the input case and expected behavior that make the result checkable. The named Preview specification should not be converted into a guarantee about a later updating selector’s underlying revision. #### Tools, search and structured text The manufacturer’s feature index lists the Thinking Preview profile for function calling, search enhancement and structured output. Define an application function and the arguments it needs, execute a returned request in the application and supply the actual result for continuation. An agent plan is not itself evidence that the planned operations finished. A source-based answer should retain retrieved evidence and distinguish it from the supplied background or an inference. A structured record should define the required fields and how missing information is represented, with the returned values checked against the source. Native response-format and tool details belong to the selected producer interface; the basic practical requirement is a traceable text result rather than a plausible but unsupported completed field. #### Inspect and continue the task The useful artifact can be a reasoned comparison, a draft, a code-related explanation or a tool-informed answer. Review important identifiers, calculations and interpretations against the material that establishes them. Keep any incomplete lookup or contradictory source visible in the conclusion instead of using fluent wording to hide a gap. The Thinking family, the named Preview profile and later ERNIE generations have distinct selectors and documented conditions. Preserve the task, source material, completed tool evidence and final response together. This makes the next turn a specific correction or extension of the same investigation rather than an ungrounded reconstruction of the earlier work. **Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `ernie-5.0-thinking-latest` [`ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/#m=ernie-5.0-thinking-latest&route=Ultra&caller=ernie-5.0-thinking-latest&fmt=chat) Baidu /`ernie-5.0-thinking-latest` ### Overview ERNIE 5.0 Thinking combines deep reasoning, writing, visual understanding and tool-connected tasks. The documented Preview profile has 128K context, 119K maximum input and final-output settings up to 65,536 tokens, with a separate thinking budget. 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 ernie-5.0-thinking-latest | Default— | | Field`messages` | Type`message[]` | RequirementRequired | Values & limits Minimum items: 1 | Default— | | Field`messages[].role` | Type`string` | RequirementRequired | Values & limits Model-specific | Default— | | Field`messages[].content` | Type`string` | RequirementOptional | Values & limits Applies when: Text conversation | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse | 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 | | Parameter`control_scope` | ContractText conversation; stream is a boolean and defaults to false. | | Parameter`output_modalities` | Contracttext | | Parameter`hosted_operations` | Contractfalse | | Parameter`multimodal_input_binding` | Contractnull | Method aliases: `/chat/completions` 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 Not specified When fast mode is selected Flex mode Not specified When flex mode is selected Maximum reasoning effort Not specified When maximum reasoning effort uses the default adjustment #### Ailoot rates #### Prices by configuration | Configuration | Rate schedule | Charge | | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Charge Input · Input tokens **$0.001892** / 1K tokens Output · Output tokens **$0.003146** / 1K tokens Input · Cache read **$0** / 1K tokens Input · Cache write **$0** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · OpenAI Chat curlPython SDK ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model":"ernie-5.0-thinking-latest","messages":[{"role":"user","content":"hello"}],"stream":false}') 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="ernie-5.0-thinking-latest", messages=[{"role":"user","content":"hello"}], stream=False) 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")) ``` ### 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** [`ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/#m=ernie-5.0-thinking-latest&route=Ultra&caller=ernie-5.0-thinking-latest&fmt=chat) #### Method path aliases `/chat/completions` #### Related caller IDs [`ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/#m=ernie-5.0-thinking-latest&route=Ultra&caller=ernie-5.0-thinking-latest&fmt=chat) **Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `ernie-5.0-thinking-latest` [`ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/#m=ernie-5.0-thinking-latest&route=Ultra&caller=ernie-5.0-thinking-latest&fmt=messages) Baidu /`ernie-5.0-thinking-latest` ### Overview ERNIE 5.0 Thinking combines deep reasoning, writing, visual understanding and tool-connected tasks. The documented Preview profile has 128K context, 119K maximum input and final-output settings up to 65,536 tokens, with a separate thinking budget. Accepted inputs Text Results json · sse ### Available in Ailoot · inputs & methods **Ailoot Ultra · Anthropic Messages** `POST /v1/messages` Input types `text` Output types `json`, `sse` Output format JSON or SSE | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits ernie-5.0-thinking-latest | Default— | | Field`messages` | Type`message[]` | RequirementRequired | Values & limits | Default— | | Field`messages[].role` | Type`string` | RequirementRequired | Values & limits user, assistant | Default— | | Field`messages[].content` | Type`string` | RequirementRequired | Values & limits | Default— | | Field`max_tokens` | Type`integer` | RequirementRequired | Values & limits | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse | Input material combinations **Text** · UTF-8 text `messages[].content string` Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, messages, max\_tokens | | Parameter`optional_controls` | Contractstream | | Parameter`material_types` | Contracttext | | Parameter`text_file_material` | ContractRead the actual UTF-8 document and put its text in the indicated input or message content string. | Lifecycle: `synchronous_or_streamed` ### Pricing Tariff references do not add request options. Supported parameters are listed for the selected method. Fast mode Not specified When fast mode is selected Flex mode Not specified When flex mode is selected Maximum reasoning effort Not specified When maximum reasoning effort uses the default adjustment #### Ailoot rates #### Prices by configuration | Configuration | Rate schedule | Charge | | --- | --- | --- | | ConfigurationBase token rates | Rate scheduleBase rate | Charge Input · Input tokens **$0.001892** / 1K tokens Output · Output tokens **$0.003146** / 1K tokens Input · Cache read **$0** / 1K tokens Input · Cache write **$0** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Anthropic Messages Complete minimal JSON bodycurl · use your UTF-8 documentPython · save the complete result ```json { "model": "ernie-5.0-thinking-latest", "max_tokens": 128, "messages": [ { "role": "user", "content": "Summarize the incident report." } ], "stream": false } ``` ```bash set -eu : "${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': 'ernie-5.0-thinking-latest', 'max_tokens': 128, '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': 'ernie-5.0-thinking-latest', 'max_tokens': 128, '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** [`ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/#m=ernie-5.0-thinking-latest&route=Ultra&caller=ernie-5.0-thinking-latest&fmt=messages) #### Method path aliases `/chat/completions` #### Related caller IDs [`ernie-5.0-thinking-latest`](https://ailoot.ai/models/en/#m=ernie-5.0-thinking-latest&route=Ultra&caller=ernie-5.0-thinking-latest&fmt=messages) FAQ · ernie-5.0-thinking-latest What inputs and results are available? `POST /v1/chat/completions` · `ernie-5.0-thinking-latest`: `text` → `text` `POST /v1/messages` · `ernie-5.0-thinking-latest`: `text` → `json`, `sse` Which fields does the request use? `POST /v1/chat/completions` · `ernie-5.0-thinking-latest`: `model`, `messages`, `stream` `POST /v1/messages` · `ernie-5.0-thinking-latest`: `model`, `messages`, `max_tokens`, `stream` What limits apply? `POST /v1/chat/completions` · `ernie-5.0-thinking-latest`: `messages.min_items`: `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. 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