Source: https://ailoot.ai/models/en/inclusionai-ling-3-0-flash/ Canonical: https://ailoot.ai/models/en/inclusionai-ling-3-0-flash/ Language: en # inclusionAI: Ling 3.0 Flash [Markdown](https://ailoot.ai/models/en/inclusionai-ling-3-0-flash/index.md) · [JSON](https://ailoot.ai/models/en/inclusionai-ling-3-0-flash/facts.json) ## [inclusionAI: Ling 3.0 Flash](https://ailoot.ai/models/en/inclusionai-ling-3-0-flash/) Ling 3.0 Flash is inclusionAI’s text model for conversations, document work and application-controlled agent workflows. It accepts text through Chat Completions, supports function-call declarations and JSON output formatting, and has a published 262,144-token context window. Use the exact inclusionai/ling-3.0-flash ID when selecting this edition. - [**Ailoot Ultra · Chat Completions** `POST /v1/chat/completions` `inclusionai/ling-3.0-flash`](https://ailoot.ai/models/en/inclusionai-ling-3-0-flash/#method-0) About the model This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below. Ling 3.0 Flash is a text-to-text model from inclusionAI. Its published architecture is a mixture of experts with 124 billion total parameters and approximately 5.1 billion active parameters per token. Select inclusionai/ling-3.0-flash through POST /v1/chat/completions with model and a messages array. Instructions, source material and prior conversation turns belong in the message text. Use a focused prompt to turn supplied material into a specific deliverable. For a customer reply, provide the customer’s question and the product or policy text the answer must use, then specify the tone and next step. For a document summary, name the sections you need, such as decisions, unresolved questions and actions. For extraction, define the requested fields and how to represent facts absent from the source. For code work, include the relevant function or file excerpt and ask for an explanation, proposed change or review against an explicit requirement. The published context window is 262,144 tokens, with up to 32,768 completion tokens listed for the model. Budget the source text, instructions, conversation history and requested completion together. Use max\_tokens to set the requested output allowance. A document should be supplied as its actual text when you want the answer to depend on its contents; refer to the relevant sections explicitly when a request combines several passages. The supported parameter list includes tools and tool\_choice for function calling. Define the available functions and their argument descriptions in the request. Your application validates a returned call, executes the selected function and supplies its result to the conversation before requesting a follow-up answer. For example, a support workflow can expose a narrowly defined order lookup and use its returned facts when drafting the response. Keep tool results attached to the correct conversation turn so the model can distinguish them from the user’s original request. The model supports response\_format for JSON output, without JSON-schema enforcement. State the intended fields and validate the returned object in your application before using it. Other published controls include temperature, top\_p, top\_k, min\_p, stop, seed and the listed repetition, frequency and presence penalties. The parameter list also includes reasoning and include\_reasoning; choose their supported representation from the request specification rather than assuming values from a different edition. Chat Completions can return a complete response or streamed text. For a complete reply, read the returned message content and retain the response choices and usage. With streaming, assemble the deltas before treating the answer as complete, and retain any returned tool calls with their arguments. The result is text or a function-call request for the next application step; the surrounding application owns execution and the use of the completed answer. **Ailoot Ultra · Chat Completions** `POST /v1/chat/completions` `inclusionai/ling-3.0-flash` [`inclusionai/ling-3.0-flash`](https://ailoot.ai/models/en/#m=inclusionai%2Fling-3.0-flash&route=Ultra&caller=inclusionai%2Fling-3.0-flash&fmt=chat) inclusionAI /`inclusionai/ling-3.0-flash` ### Overview Ling 3.0 Flash is inclusionAI’s text model for conversations, document work and application-controlled agent workflows. It accepts text through Chat Completions, supports function-call declarations and JSON output formatting, and has a published 262,144-token context window. Use the exact inclusionai/ling-3.0-flash ID when selecting this edition. Accepted inputs Text Results Text ### Available in Ailoot · inputs & methods **Ailoot Ultra · Chat Completions** `POST /v1/chat/completions` Input types `text` Output types `text` Context 262,144 tokens Output format JSON or supported SSE | Field | Type | Requirement | Values & limits | Default | | --- | --- | --- | --- | --- | | Field`model` | Type`string` | RequirementRequired | Values & limits inclusionai/ling-3.0-flash | Default— | | Field`messages` | Type`array` | RequirementRequired | Values & limits | Default— | | Field`stream` | Type`boolean` | RequirementOptional | Values & limits | Defaultfalse | | Field`max_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 | Default— | | Field`max_completion_tokens` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 | Default— | | Field`n` | Type`integer` | RequirementOptional | Values & limits Minimum: 1 | Default— | | Field`temperature` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`top_p` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`seed` | Type`integer` | RequirementOptional | Values & limits | Default— | | Field`stop` | Type`` | RequirementOptional | Values & limits | Default— | | Field`frequency_penalty` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`presence_penalty` | Type`number` | RequirementOptional | Values & limits | Default— | | Field`user` | Type`string` | RequirementOptional | Values & limits | Default— | Method parameters and lifecycle | Parameter | Contract | | --- | --- | | Parameter`content_type` | Contractapplication/json | | Parameter`required` | Contractmodel, messages | | Parameter`optional` | Contractstream, max\_tokens, max\_completion\_tokens, n, temperature, top\_p, seed, stop, frequency\_penalty, presence\_penalty, user | | Parameter`material_types` | Contracttext | | Parameter`conditions` | Contract | Lifecycle: `synchronous_json_or_sse` ### 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 **$0.00012** / 1K tokens Output · Output tokens **$0.00036** / 1K tokens Input · Cache read **$0.000024** / 1K tokens Input · Cache write **—** / 1K tokens Input · Cache write, 1 hour **—** / 1K tokens | Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. [How reservation and settlement work →](https://ailoot.ai/docs/en/billing/reserve/) ### Example requests #### Ailoot Ultra · Chat Completions curl · create once and retain the complete result ```bash set -eu : "${AILOOT_API_KEY:?Set your Ailoot API key}" export AILOOT_API_KEY python3 - <<'PY_REQUEST' import json,os from pathlib import Path p=json.loads('{"model": "inclusionai/ling-3.0-flash", "messages": [{"role": "user", "content": "Summarize the supplied text in three concise points."}], "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 # Submit once. Retain the complete result, original identifiers and every response header. ``` ### Receive and save results #### Ailoot Ultra · Chat Completions JSON or supported SSE ##### Keep all completed results Keep every complete returned response, file and content part. Retain the complete response, all actual results, original identifiers, usage and response headers. ##### If the original response needs checking Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation. ### Aliases #### Model aliases **Ailoot Ultra** [`inclusionai/ling-3.0-flash`](https://ailoot.ai/models/en/#m=inclusionai%2Fling-3.0-flash&route=Ultra&caller=inclusionai%2Fling-3.0-flash&fmt=chat) #### Method path aliases Use the method paths shown above. #### Related caller IDs [`inclusionai/ling-3.0-flash`](https://ailoot.ai/models/en/#m=inclusionai%2Fling-3.0-flash&route=Ultra&caller=inclusionai%2Fling-3.0-flash&fmt=chat) FAQ · inclusionAI: Ling 3.0 Flash What inputs and results are available? `POST /v1/chat/completions` · `inclusionai/ling-3.0-flash`: `text` → `text` Which fields does the request use? `POST /v1/chat/completions` · `inclusionai/ling-3.0-flash`: `model`, `messages`, `stream`, `max_tokens`, `max_completion_tokens`, `n`, `temperature`, `top_p`, `seed`, `stop`, `frequency_penalty`, `presence_penalty`, `user` What limits apply? `POST /v1/chat/completions` · `inclusionai/ling-3.0-flash`: `ctx`: `262144`; `max_tokens.minimum`: `1`; `max_completion_tokens.minimum`: `1`; `n.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. 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