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MistralText Generation/v1/ai/chat

Mistral Medium 3.5

Access Mistral Medium 3.5 through one API key. Mistral's balanced mid-tier model.

Mistral's balanced mid-tier model. Strong general reasoning, coding, and multilingual performance with a 256K token context window.

No credit card required. Takes 30 seconds.

2,400+

Developers

1.2M+

API calls served

100+

Endpoints

$0.01

Per call

Yep, that's it.

Try it live

Send a message and see Mistral Medium 3.5 respond in real time.

POST/v1/ai/chat

Maximum tokens in the response.

Real-time tokens

Hit "Send Request" to see the response

Context Window

262K tokens

Max Output

16K tokens

Input Price

$2.10 / 1M tokens

Output Price

$10.50 / 1M tokens

Strengths

Balanced mid-tier model

Mistral's mid-tier model balancing capability and cost, strong on general reasoning, coding, and multilingual tasks, with up to 16,384 output tokens.

256K token context

A 262,144-token context window handles long documents and sizeable codebases in a single request — ample for most production workloads.

Strong coding & multilingual

Reliable code generation and debugging plus solid European-language coverage, reflecting Mistral's multilingual focus.

Efficient price-to-performance

At $2.10 / $10.50 per 1M tokens it offers competitive mid-tier quality at a rate well below flagship models for everyday reasoning and coding.

Quick start

Copy this snippet and start making calls with Mistral Medium 3.5.

const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
  method: 'POST',
  headers: {
    'x-api-key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "model": "mistralai/mistral-medium-3-5",
    "messages": [
      {
        "role": "user",
        "content": "Explain API gateways in 2 sentences."
      }
    ],
    "maxTokens": 256
  }),
});
const { data } = await res.json();
console.log(data.message.content);

Why use Mistral Medium 3.5 through YepAPI?

One API key for all models — no separate accounts
OpenAI SDK compatible — just change the base URL
No monthly minimums — pay per token
Switch models with one line of code
Full provider passthrough — citations, search results, and all extras included
Streaming and non-streaming support on every model
Works with Cursor, Claude, LangChain, and any LLM tool
Unified billing across all providers

Mistral Medium 3.5 API — pricing, context window & access

Mistral Medium 3.5 is Mistral's balanced mid-tier model, with strong general reasoning, coding, and multilingual performance backed by a 256K-token context window and up to 16,384 output tokens. It targets the workhorse tier between small and flagship models.

YepAPI serves Mistral Medium 3.5 over an OpenAI-compatible endpoint with one key that also reaches Mistral Small 4, the coding-focused Devstral 2, Claude, Gemini, Grok, Qwen, and Perplexity Sonar, plus SEO, SERP, and scraping APIs.

What is Mistral Medium 3.5?

Mistral Medium 3.5 is the mid-tier model from Mistral, the European AI lab. It is built to be a balanced workhorse — strong on general reasoning, coding, and multilingual tasks without the cost of a flagship. It carries a 262,144-token context window and returns up to 16,384 output tokens, which covers long documents and most codebases. With particular strength across European languages, it suits teams that want capable, efficient general-purpose inference and value Mistral's multilingual and data-residency positioning.

Build with Mistral Medium 3.5 via YepAPI

Call Mistral Medium 3.5 through YepAPI's OpenAI-compatible /v1/ai/chat endpoint with the model set to mistral-medium-3-5. Existing OpenAI SDK code works after a base-URL and model-name change. For cheaper bulk work, switch to Mistral Small 4; for heavy coding, Devstral 2 — each is a one-string change. The same key reaches Claude, Gemini, and Sonar, so multi-model routing needs no extra integration.

Mistral Medium 3.5 API pricing — $2.10 / $10.50 per 1M tokens

Mistral Medium 3.5 costs $2.10 per 1M input tokens and $10.50 per 1M output tokens on YepAPI. That sits comfortably in the mid tier — above the ultra-cheap Small model but well under flagship reasoning models — making it a sensible default for general production traffic that needs decent quality at a controlled cost. Billing is per token with no minimums.

Mistral Medium 3.5 for multilingual general-purpose work

Medium 3.5 is well suited to everyday production tasks with a European or multilingual slant: customer support, content generation, summarization, and general coding across languages. Its 256K-token window handles long inputs, and its balanced tuning keeps quality high without flagship costs. For teams that prefer a European model or need strong non-English coverage at a mid-tier price, it is a natural default.

Try Mistral Medium 3.5 free

New YepAPI accounts get $5 in free credit with no card required. It is enough to wire Mistral Medium 3.5 into your app and run real multilingual or coding traffic before deciding on paid usage.

Start generating in 30 seconds

$5 free credit on signup. No credit card required. Pay per call.

What developers say

Switched from SerpAPI and cut our SERP costs by 80%. Same data quality, way simpler billing.

Marcus T.

SEO Platform Founder

One API key for AI models, SERP data, and web scraping. Saved us from managing 4 separate providers.

Priya S.

Full-Stack Developer

The $5 free credit let us prototype our entire rank tracking feature before committing. No other API does that.

Jake R.

Indie Hacker

Frequently asked questions

Mistral's balanced mid-tier model. Strong general reasoning, coding, and multilingual performance with a 256K token context window.

Input tokens cost $2.10 per 1M tokens and output tokens cost $10.50 per 1M tokens through YepAPI. No monthly minimums — you only pay for what you use.

Sign up for a free API key, then send requests to the /v1/ai/chat endpoint.

Mistral Medium 3.5 supports a 262K token context window with up to 16K output tokens per request.

Ready to use Mistral Medium 3.5?

$5 free credit on signup. No credit card required. Pay per call.

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