Mistral

Mistral’s full lineup — Large, Medium, Small, Ministral (edge sizes), Codestral (code), Devstral (dev tools), Magistral (reasoning), Pixtral (multimodal) — is routable through Verlon in whichever SDK you already use. No Mistral-specific SDK required.

Chat models

Model ID	Type	Context
`codestral-2508`	chat	256K
`codestral-latest`	chat	256K
`devstral-2512`	chat	262K
`devstral-latest`	chat	262K
`devstral-medium-latest`	chat	131K
`devstral-small-latest`	chat	—
`glm-5-2`	chat	1049K
`magistral-medium-latest`	chat	40K
`magistral-small-latest`	chat	131K
`ministral-14b-2512`	chat	262K
`ministral-14b-latest`	chat	262K
`ministral-3b-2512`	chat	131K
`ministral-3b-latest`	chat	131K
`ministral-8b-2512`	chat	262K
`ministral-8b-latest`	chat	262K
`mistral-code-agent-latest`	chat	262K
`mistral-code-fim-latest`	chat	256K
`mistral-code-latest`	chat	256K
`mistral-large-2512`	chat	256K
`mistral-large-latest`	chat	256K
`mistral-medium`	chat	262K
`mistral-medium-2505`	chat	131K
`mistral-medium-2508`	chat	131K
`mistral-medium-2604`	chat	262K
`mistral-medium-3`	chat	32K
`mistral-medium-3-5`	chat	256K
`mistral-medium-3.5`	chat	256K
`mistral-medium-latest`	chat	131K
`mistral-small-2506`	chat	128K
`mistral-small-2603`	chat	262K
`mistral-small-latest`	chat	262K
`mistral-tiny-2407`	chat	131K
`mistral-tiny-latest`	chat	131K
`mistral-vibe-cli-fast`	chat	262K
`mistral-vibe-cli-latest`	chat	262K
`mistral-vibe-cli-with-tools`	chat	262K
`open-mistral-nemo`	chat	128K
`open-mistral-nemo-2407`	chat	131K
`zai-glm-5-2`	chat	1049K

This table is auto-generated from the Verlon model registry on every sync — see the live registry for pricing, benchmarks, and deprecation dates.

Other modalities

audio — 4 models
embeddings — 4 models
moderation — 1 models
OCR / document processing — 7 models
speech-to-text — 3 models
text-to-speech — 2 models

Non-chat Mistral models are called through the OpenAI SDK using the same model IDs — Verlon mirrors /v1/embeddings, /v1/images/generations, and /v1/audio/speech as drop-in routes. Mistral’s OCR line is particularly strong for document processing; mistral.ocr.process() works drop-in against /mistral/v1/ocr — the same serverURL swap as chat and FIM.

Quickstart

First time? Create a gate and grab an API key — the examples below need a GATE_ID and VERLON_API_KEY.

The fastest path — the official OpenAI SDK, pointed at Verlon:

import OpenAI from 'openai';

const openai = new OpenAI({
  baseURL: 'https://api.verlon.ai/v1',
  apiKey: process.env.VERLON_API_KEY,
});

// @ts-ignore - gateId is a Verlon AI extension
const response = await openai.chat.completions.create({
  gateId: process.env.GATE_ID,
  model: 'mistral-large-latest', // optional — overrides the gate's configured model
  messages: [{ role: 'user', content: 'Hello!' }],
});

console.log(response.choices[0].message.content);

Any chat model from the table above works — swap mistral-large-latest for codestral-latest, magistral-medium-latest, pixtral-large-latest, or any other ID.

SDK compatibility

Any SDK with a Verlon drop-in endpoint can reach every model on this page — today that’s the OpenAI SDK and the Anthropic SDK: point it at Verlon, reference a gate that routes here, and your code stays unchanged. The quickstart above is all it takes. Verlon also mirrors Mistral’s own API shape at /mistral/v1/chat/completions and /mistral/v1/fim/completions for clients that already speak it. The Verlon SDK isn’t needed for inference — its home is agent tracing, observability, and the model registry.

Streaming

const stream = await openai.chat.completions.create({
  gateId: process.env.GATE_ID,
  messages: [{ role: 'user', content: 'Tell me a joke.' }],
  stream: true,
});

for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? '');
}

What’s supported

Streaming

Full support for stream: true in every supported SDK — identical semantics to the source SDK.

Tool / function calling

Fully supported. Verlon translates the tool-call shape between OpenAI / Anthropic / Mistral native formats.

Vision

Image inputs work with Pixtral models — Mistral’s vision-capable line.

Code + reasoning specializations

Codestral, Devstral, and Magistral models are available with the same call shape — swap the model ID.

Standard parameters

temperature, max_tokens, top_p, stop, and the rest are passed through.

Usage + cost tracking

Every response includes token usage plus Verlon’s cost field with per-call dollar amount.

How it works

You send a request in your chosen SDK’s format
Verlon receives — validates the gate, applies routing rules
Verlon translates to Mistral’s native format and dispatches to Mistral’s API
Mistral responds with its raw response
Verlon normalizes back to your SDK’s expected shape
You receive a response in the format your code already handles, with an added cost field

Your existing code doesn’t know it’s talking to Mistral.

Errors

Status	Meaning	What to check
`400`	Invalid request	Malformed body or missing `gateId`
`401`	Invalid API key	Your `VERLON_API_KEY` value and the `Authorization: Bearer` header
`404`	Gate not found	Your `GATE_ID` — the error message names the offending ID
`429`	Rate limit exceeded	Back off and retry; the body includes `reset_at`, and every response carries `X-RateLimit-*` headers

The error shape always matches the SDK you’re calling with. Through the OpenAI SDK it surfaces as a thrown APIError:

try {
  await openai.chat.completions.create({
    gateId: process.env.GATE_ID,
    messages: [{ role: 'user', content: 'Hello!' }],
  });
} catch (error) {
  // error.status and error.message carry the API's answer,
  // e.g. 404 'Gate with ID "…" not found'
  console.error(error.status, error.message);
}

Full non-chat model list

Every non-chat Mistral model Verlon routes to, grouped by modality. Chat models are in the table near the top of this page.

Audio

Model ID
`voxtral-mini-2602`
`voxtral-mini-realtime-2602`
`voxtral-mini-realtime-latest`
`voxtral-mini-transcribe-realtime-2602`

Embeddings

Model ID
`codestral-embed`
`codestral-embed-2505`
`mistral-embed`
`mistral-embed-2312`

Moderation

Model ID
`mistral-moderation-2603`

OCR / document processing

Model ID
`mistral-ocr-2512`
`mistral-ocr-3`
`mistral-ocr-3-0`
`mistral-ocr-4`
`mistral-ocr-4-0`
`mistral-ocr-4-1`
`mistral-ocr-latest`

Speech-to-text

Model ID
`voxtral-mini-latest`
`voxtral-small-2507`
`voxtral-small-latest`

Text-to-speech

Model ID
`voxtral-mini-tts-2603`
`voxtral-mini-tts-latest`

OpenAI · Anthropic · Google
Verlon SDK reference — agent tracing, observability, and the model registry
Gates — set up routing rules and model configuration
Bring your own key — use your own Mistral account for provider costs
Mistral’s official docs ↗

Getting Started

SDK Reference

Platform

Integrations

Provider Compatibility

Chat models

Other modalities

Quickstart

SDK compatibility

Streaming

What’s supported

How it works

Errors

Full non-chat model list

Audio

Embeddings

Moderation

OCR / document processing

Speech-to-text

Text-to-speech

​Chat models

​Other modalities

​Quickstart

​SDK compatibility

​Streaming

​What’s supported

​How it works

​Errors

​Full non-chat model list

​Audio

​Embeddings

​Moderation

​OCR / document processing

​Speech-to-text

​Text-to-speech

​Related

Chat models

Other modalities

Quickstart

SDK compatibility

Streaming

What’s supported

How it works

Errors

Full non-chat model list

Audio

Embeddings

Moderation

OCR / document processing

Speech-to-text

Text-to-speech

Related