Mistral Medium 3.5
Where it stands
Quality in independent tests against price, next to 135 other models. Up means more capable, left means cheaper.
About this model
Mistral Medium 3.5 is an AI model from Mistral AI, made available through the API on April 30, 2026. It can read up to 262,144 tokens in one request, roughly 492 pages of text, and write up to 209,715 tokens in a single answer. Besides text, it accepts images and files such as PDFs as input.
Through the API it costs $1.50 per million input tokens and $7.50 per million output tokens. Its pricing sits in the middle of the market.
It supports extended reasoning: it can "think" step by step before answering, which helps on maths, code and complex questions. It can call tools and functions, so developers can connect it to search, databases or other software.
Quality scores
Rankings →Where to use it
Companies that serve this model through an API: 3. Prices per million tokens, cheapest first.
| Provider | Inputi | Outputi | Contexti | Uptime (24 h)i |
|---|---|---|---|---|
MistralOfficialCheapest | $1.50 | $7.50 | 256K | 99.5% |
MistralOfficialCheapest | $1.50 | $7.50 | 256K | 99.2% |
MistralOfficial | $1.65 | $8.25 | 256K | 100.0% |
Availability and prices come from OpenRouter’s public API and are refreshed daily. Uptime is the share of successful requests over the last 24 hours. Some providers run a compressed version of open models (fp8, int4), which is cheaper but can be slightly less accurate.
Use it in your code
Call Mistral Medium 3.5 through OpenRouter’s OpenAI-compatible API: create a key on openrouter.ai, then run one of these examples.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "mistralai/mistral-medium-3-5", "messages": [{"role": "user", "content": "Hello! What can you do?"}]}'import os
from openai import OpenAI
client = OpenAI(base_url="https://openrouter.ai/api/v1", api_key=os.environ["OPENROUTER_API_KEY"])
reply = client.chat.completions.create(
model="mistralai/mistral-medium-3-5",
messages=[{"role": "user", "content": "Hello! What can you do?"}],
)
print(reply.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://openrouter.ai/api/v1", apiKey: process.env.OPENROUTER_API_KEY });
const reply = await client.chat.completions.create({
model: "mistralai/mistral-medium-3-5",
messages: [{ role: "user", content: "Hello! What can you do?" }],
});
console.log(reply.choices[0].message.content);The same code works with every model on this site: only the model ID changes. Many labs also offer their own API and SDK.
What it costs in practice
- 1,000 chat replies$3.00
- Summarise a 100-page document$0.083
- An app with 10,000 requests a day for a month$1,350
Similar-priced alternatives
| Model | Inputi | Outputi | Contexti | |
|---|---|---|---|---|
Gemini 3.5 FlashGoogle DeepMind | $1.50 | $9 | 1M | Compare with ⇄ |
Qwen3.7 MaxAlibaba Qwen | $1.48 | $4.43 | 1M | Compare with ⇄ |
GLM 5.3Z.ai (Zhipu) | $1.40 | $4.40 | 1M | Compare with ⇄ |
Muse Spark 1.3Meta | $1.25 | $4.25 | 1M | Compare with ⇄ |
Grok 4.3xAI | $1.25 | $2.50 | 1M | Compare with ⇄ |
GPT-6.1 Sol ProOpenAI | $2 | $10 | 1.1M | Compare with ⇄ |
News about Mistral AI
See all →Frequently asked questions
- How much does Mistral Medium 3.5 cost?
- Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens through the API. For example, 1,000 chat replies of about 500 tokens in and 300 out cost around $3.00.
- What is the context window of Mistral Medium 3.5?
- Mistral Medium 3.5 can read up to 262,144 tokens in one request, about 492 pages of text. It can write up to 209,715 tokens in a single answer.
- Is Mistral Medium 3.5 open source?
- No. Mistral Medium 3.5 is a closed model: its weights are not published, so you use it through Mistral AI’s own apps and API, or through cloud providers.
- Who makes Mistral Medium 3.5?
- Mistral Medium 3.5 is made by Mistral AI. It became available through the API on April 30, 2026.
- How good is Mistral Medium 3.5?
- Mistral Medium 3.5 has an overall index of 141.4 in Epoch AI’s independent tests, ranking #91 of 136 models we track.
- Can Mistral Medium 3.5 read images?
- Yes. Besides text, it accepts images and files such as PDFs as input.
- What are the alternatives to Mistral Medium 3.5?
- Models with a similar price from other companies include Gemini 3.5 Flash, Qwen3.7 Max and GLM 5.3. You can compare them side by side on this page.