> This page is for Model APIs. > Sarvam Voice Agents (Samvaad) is a voice AI agent platform for Indian languages: build, test and deploy AI calling agents on your own phone numbers, from ₹3 a minute. Start here: https://docs.sarvam.ai/voice-agents/why-voice-agents. > For clean Markdown of any page, append `.md` to the page URL. > For a complete documentation index, see https://docs.sarvam.ai/llms.txt. For a section index, append `/llms.txt` to any section URL (for example https://docs.sarvam.ai/voice-agents/llms.txt). > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.sarvam.ai/_mcp/server. # MiMo V2.6 Pro > MiMo V2.6 Pro is an open-weight reasoning model with text, image, audio, and video input, a 1,048,576-token context window, tool calling, and structured output. MiMo V2.6 Pro (checkpoint `MiMo-V2.6-Pro-MOPD`) is the larger model in the MiMo V2.6 family (1.02T total parameters, 42B active), served on Sarvam infrastructure as an [open-weight model](/api/token-factory/models). It has a **1,048,576-token context window** and shares its API behaviour with [MiMo V2.6 Flash](/api/token-factory/models/mimo-v2.6-flash). > **Note** > > MiMo V2.6 Pro is in **beta**. Its behaviour, limits, and availability may change before general availability. Beta models must be enabled for your API key; without access, requests return `400 invalid_request_error` ("This model is currently in beta"). [Contact us](/api/getting-started/help) to request access. See [Beta models](/api-reference/beta-apis). ## At a glance | | | | ------------------ | ---------------------------------------------------------------------------------------------------------------------------------- | | **Model ID** | `mimo-v2.6-pro` | | **Parameters** | 1.02T total, 42B active | | **Best for** | Harder reasoning and agentic tasks over long text | | **Context window** | 1,048,576 tokens | | **Input → output** | Text + image + audio + video → text (video on chat only). See [Media input](#media-input) | | **Reasoning** | On by default; can be turned off. See [Reasoning](#reasoning) | | **Tool calling** | Supported, including `tool_choice: "required"` and parallel tool calls | | **APIs** | [`POST /v2/chat/completions`](/api-reference/chat/chat-completions-v2) and [`POST /v2/responses`](/api-reference/responses/create) | | **Pricing** | ₹40 input · ₹0.3 cached input · ₹80 output per 1M tokens; reasoning is billed as output ([Pricing](/api/getting-started/pricing)) | ## Key capabilities #### Long context Process up to 1,048,576 tokens across the prompt, reasoning, and generated output. #### Reasoning on or off Thinks by default; turn thinking off for faster, cheaper direct answers. #### Image, audio, and video input Send base64 images, audio, and video alongside text. #### Tool calling Use OpenAI-compatible `tools` and `tool_choice` for agentic workflows. #### Structured output Constrain answers with `response_format` JSON schemas. #### Log probabilities Request `logprobs` and `top_logprobs`, and `n` > 1 choices. > **Tip** > > Moving from [OpenRouter](/api/token-factory/migrations/from-openrouter/overview), [Fireworks AI](/api/token-factory/migrations/from-fireworks/overview), or [Together AI](/api/token-factory/migrations/from-together/overview)? The migration guides map model IDs and request fields to Sarvam. ## Quickstart #### Python ```python from sarvamai import SarvamAI client = SarvamAI(api_subscription_key="YOUR_SARVAM_API_KEY") response = client.chat.completions_v2( model="mimo-v2.6-pro", messages=[ { "role": "user", "content": "List three ways to reduce cold-start latency in a serverless API.", } ], max_tokens=2000, ) print(response.choices[0].message.content) ``` #### JavaScript ```javascript import { SarvamAIClient } from "sarvamai"; const client = new SarvamAIClient({ apiSubscriptionKey: "YOUR_SARVAM_API_KEY", }); async function main() { const response = await client.chat.completionsV2({ model: "mimo-v2.6-pro", messages: [ { role: "user", content: "List three ways to reduce cold-start latency in a serverless API.", }, ], max_tokens: 2000, }); console.log(response.choices[0].message.content); } main(); ``` #### cURL ```bash curl -X POST https://api.sarvam.ai/v2/chat/completions \ -H "api-subscription-key: $SARVAM_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "mimo-v2.6-pro", "messages": [ { "role": "user", "content": "List three ways to reduce cold-start latency in a serverless API." } ], "max_tokens": 2000 }' ``` ## Supported parameters `model: "mimo-v2.6-pro"` on [Chat Completion V2](/api-reference/chat/chat-completions-v2) and [Responses](/api-reference/responses/create). Full request/response schemas live on those API reference pages; this table covers what's actually accepted for this model. | Parameter | Chat Completion V2 | Responses | | ----------------------------------------------------- | :---------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------: | | Streaming (`stream`) | | | | Image input (base64) | `image_url` | `input_image` | | Audio input (base64) | `input_audio` or `audio_url` | `input_audio` only | | Video input (base64) | `video_url` | `400` | | Tool calling (`tools`, `tool_choice`) | | | | `parallel_tool_calls: false` enforced | | | | Structured output (`response_format` / `text.format`) | | | | Log probabilities (`logprobs`, `top_logprobs`) | | send `top_logprobs` with `include: ["message.output_text.logprobs"]`; `logprobs: true` returns `400` | | Multiple choices (`n` > 1) | | N/A — Responses has no `n` | | Reasoning control | Any value but `"none"` just switches thinking on; doesn't change effort | Same behaviour via `reasoning.effort` | | Turn reasoning off | `reasoning_effort: "none"` | `reasoning.effort: "none"` | ## Reasoning MiMo V2.6 Pro **thinks by default**. Thinking is either on or off: any effort value other than `"none"` (`low`, `high`, `max`, and so on) only switches thinking on; it doesn't change how much the model thinks. Turn thinking off with any of: | Setting | Where | | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------- | | `reasoning_effort: "none"` | [Chat Completion V2](/api-reference/chat/chat-completions-v2); `reasoning.effort: "none"` on [Responses](/api-reference/responses/create) | | `thinking: {"type": "disabled"}` | Through `extra_body` in the SDKs | | `chat_template_kwargs: {"enable_thinking": false}` | Through `extra_body` in the SDKs | ```python response = client.chat.completions_v2( model="mimo-v2.6-pro", messages=[{"role": "user", "content": "What is 17 × 23?"}], extra_body={"thinking": {"type": "disabled"}}, max_tokens=2000, ) ``` Read the reasoning trace from `choices[].message.reasoning_content` on chat. On Responses, `output` starts with a `reasoning` item; read its `content[0].text` (`summary` is empty). Reasoning tokens are billed as output tokens and count against `max_tokens` / `max_output_tokens`. ## Tool calling Pass OpenAI-compatible `tools`. `tool_choice` accepts `"auto"`, `"none"`, `"required"`, or a named function (`{"type": "function", "function": {"name": "..."}}`). The model can return several tool calls in one turn; set `parallel_tool_calls: false` to get at most one. ## Structured output Pass a JSON schema in `response_format`: ```python response = client.chat.completions_v2( model="mimo-v2.6-pro", messages=[{"role": "user", "content": "Give a city and its country."}], response_format={ "type": "json_schema", "json_schema": { "name": "city", "strict": True, "schema": { "type": "object", "properties": { "city": {"type": "string"}, "country": {"type": "string"}, }, "required": ["city", "country"], "additionalProperties": False, }, }, }, max_tokens=2000, ) ``` ## Media input MiMo V2.6 Pro accepts **images, audio, and video** alongside text. Send every file **inline as a base64 data URI**; remote `http(s)` URLs return `400`. | Input | Chat Completion V2 | Responses | Formats | | ----- | ---------------------------------------------------------------------------------------------------------------------- | ---------------------------------------- | ------------------------------- | | Image | `image_url` part | `input_image` part | PNG, JPEG, WebP, GIF, BMP, TIFF | | Audio | `input_audio` part (`data`, `format`: `wav` or `mp3`), or `audio_url` part with a data URI (WAV, MP3, FLAC, OGG, Opus) | `input_audio` part only (`wav` or `mp3`) | WAV, MP3, FLAC, OGG, Opus | | Video | `video_url` part with a data URI | Not supported | MP4 | ```python import base64 def data_uri(path, mime): with open(path, "rb") as f: return f"data:{mime};base64," + base64.b64encode(f.read()).decode() with open("question.wav", "rb") as f: audio_b64 = base64.b64encode(f.read()).decode() response = client.chat.completions_v2( model="mimo-v2.6-pro", messages=[ { "role": "user", "content": [ {"type": "text", "text": "Answer the question in the audio, using the chart and the clip."}, {"type": "image_url", "image_url": {"url": data_uri("chart.png", "image/png")}}, {"type": "input_audio", "input_audio": {"data": audio_b64, "format": "wav"}}, {"type": "video_url", "video_url": {"url": data_uri("clip.mp4", "video/mp4")}}, ], } ], max_tokens=2000, ) ``` **Thinking and audio:** when the latest user message contains audio, the model answers without thinking by default. To think anyway, send `chat_template_kwargs: {"enable_thinking": true}` (through `extra_body` in the SDKs). Audio in earlier turns doesn't change the default. **Limits:** * Request body up to 40 MiB, including base64 media. Base64 adds about 33%, so about 30 MB of raw media fits in one request. * Up to 999 files of each type per request. * Images are resized to about 8.4 megapixels. * Video is sampled to 32 frames. Resolution isn't capped: higher-resolution video, including 4K, is accepted and uses more tokens. * Audio up to 10 minutes per file. Media tokens are billed as input and reported in `usage.prompt_tokens_details` as `image_tokens`, `audio_tokens`, and `video_tokens`. ## Known limitations * Media must be inline base64; remote URLs return `400`. Video works on Chat Completion V2 only. * Plain one-colour images are often described as "white" or "black". * Reasoning and the final answer share the **`max_tokens`** / **`max_output_tokens`** budget. * `stop` strings match the answer only, not the thinking. * Set **`max_tokens`** explicitly. When it's omitted, generation isn't capped at a small default and long answers can run to tens of thousands of tokens. ## Limits and errors | Area | Limit or condition | API response | Recommended action | | ------------------ | ---------------------------------------------------- | ---------------------------------------------------------- | ------------------------------------------------------------------------------------------- | | Output | `max_tokens` exceeds 1,048,576 | `400 invalid_request_error` | Set `max_tokens` within the context window. | | Request size | Request body exceeds 40 MiB (41,943,040 bytes) | `413 invalid_request_error`, with the limit in the message | Send smaller or fewer media files. Base64 adds about 33%, so about 30 MB of raw media fits. | | Media URL | An image, audio, or video part uses an `http(s)` URL | `400 invalid_request_error` | Send the file inline as a base64 data URI. | | Video on Responses | A Responses request includes video | `400 invalid_request_error` | Send video on Chat Completion V2. | | Media count | More than 999 files of one type in a request | Request rejected | Split the request. | | Reasoning | Reasoning consumes the full `max_tokens` budget | `200` with `finish_reason: "length"` | Raise `max_tokens` or lower the reasoning effort. | | Authentication | API key is missing or invalid | `403 invalid_api_key_error` | Check the `api-subscription-key` header. | | Model | Model ID is unknown or unavailable | `404 not_found_error` | Check the spelling; model IDs are case-sensitive. | | Quota | No credits remain | `402 insufficient_quota_error` | Add credits in the [dashboard](https://indus.sarvam.ai/billing?ref=docs). | | Rate limit | Request or concurrency limit is exceeded | `429 rate_limit_exceeded_error` | Back off and retry. | | Availability | Model remains overloaded after retries | `503 model_overloaded` | Retry later. |