How much does Mistral Medium 3 cost?

Mistral Medium 3 costs $1.50 per million input tokens and $7.50 per million output tokens, using the list price from Mistral AI as of 26 Oct 2026. That is about $0.53 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.

What is the context window of Mistral Medium 3?

Mistral Medium 3 has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.

Is Mistral Medium 3 open source?

We list Mistral Medium 3 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").

How good is Mistral Medium 3 compared with other AI models?

On the Epoch Capabilities Index, Mistral Medium 3 scores 134.0 (likely range 130.4 to 135.4), which ranks 149 of 270 models we track. On Arena's human-vote text board it is ranked 113 of 166. Scores close together are a tie in practice.

How does Mistral Medium 3 compare with Gemini 2.5 Flash-Lite (Jun 2025)?

On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. Gemini 2.5 Flash-Lite (Jun 2025) costs about 94% less than Mistral Medium 3 on a blended price of $0.18 against $3.00 per million tokens. See the full comparison for every measure.

How current are these numbers for Mistral Medium 3?

The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

AI Rankings

Mistral Medium 3: Score, Price and Context Window

Where Mistral Medium 3 from Mistral AI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Mistral AI
Closed weights
Released May 2025

Its score range overlaps with o1-preview, the model just above it, so a small gap in rank is not a meaningful difference.

Key facts

Overall score: 134.0; Rank 149 of 270. Likely range 130.4 to 135.4.
Human preference: chat: 1387; Rank 113 of 166. 32,776 votes.
Human preference: coding: 1432; Rank 113 of 166. 5,840 votes.
Human preference: images: 1155; Rank 75 of 85. 10,793 votes.
Price per million tokens: $1.50 in / $7.50 out; Blended $3.00. Cached input $0.15. List price from Mistral AI, checked 26 Oct 2026.
Context window: 262K tokens; About 197,000 words at once. One answer up to 262K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Image input, Tool use, Reasoning, Structured output.

Try itMistral Vibe in our AI tools directoryMistral's Vibe assistant, formerly Le Chat, for chat, research, document work, coding sessions, and connected tasks.

How Mistral Medium 3 stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.

Mistral Medium 3 compared with all models we trackOverall capability: 134.0. Better than 44% of the other 269 models. Human preference: chat: 1387. Better than 32% of the other 165 models. Human preference: coding: 1432. Better than 32% of the other 165 models. Human preference: images: 1155. Better than 11% of the other 84 models. Price: $3.00 per 1M. Cheaper than 29% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.

Overall capability134.0
Better than 44% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1387
Better than 32% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1432
Better than 32% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: images1155
Better than 11% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$3.00 per 1M
Cheaper than 29% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window262K tokens
Larger context window than 50% of the other 198 modelsUpper half
How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where Mistral Medium 3 ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

GPQA Diamond
Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.
59.5%
Place 122 of 183
OTIS Mock AIME
Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.
32.2%
Place 123 of 174
Humanity's Last Exam
A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.
4.5%
Place 39 of 41

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.53; Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book: $0.15; Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price: $3.00 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Mistral Medium 3

How much does Mistral Medium 3 cost?: Mistral Medium 3 costs $1.50 per million input tokens and $7.50 per million output tokens, using the list price from Mistral AI as of 26 Oct 2026. That is about $0.53 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of Mistral Medium 3?: Mistral Medium 3 has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.
Is Mistral Medium 3 open source?: We list Mistral Medium 3 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is Mistral Medium 3 compared with other AI models?: On the Epoch Capabilities Index, Mistral Medium 3 scores 134.0 (likely range 130.4 to 135.4), which ranks 149 of 270 models we track. On Arena's human-vote text board it is ranked 113 of 166. Scores close together are a tie in practice.
How does Mistral Medium 3 compare with Gemini 2.5 Flash-Lite (Jun 2025)?: On quality, neither model leads clearly across the 1 measure both have. 1 measure is too close to call. Gemini 2.5 Flash-Lite (Jun 2025) costs about 94% less than Mistral Medium 3 on a blended price of $0.18 against $3.00 per million tokens. See the full comparison for every measure.
How current are these numbers for Mistral Medium 3?: The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake