How much does Mistral Large cost?

Mistral Large costs $0.50 per million input tokens and $1.50 per million output tokens, using the list price from Mistral AI as of 26 Oct 2026. That is about $0.13 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 Large?

Mistral Large 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 Large open source?

We list Mistral Large 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 Large compared with other AI models?

On the Epoch Capabilities Index, Mistral Large scores 122.1 (likely range 114.8 to 124.7), which ranks 188 of 270 models we track. On Arena's human-vote text board it is ranked 156 of 166. Scores close together are a tie in practice.

How does Mistral Large compare with Gemma 2 27B?

On quality, neither model leads clearly across the 5 measures both have. 3 measures are too close to call. Their blended prices are similar ($0.75 and $0.80 per million tokens). See the full comparison for every measure.

How current are these numbers for Mistral Large?

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 Large: Score, Price and Context Window

Where Mistral Large 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 Feb 2024

Its score range overlaps with Gemini 1.5 Flash (May 2024), the model just above it, so a small gap in rank is not a meaningful difference.

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Cutting-edge tasks: its overall Epoch score is in the lower part of the models we track.

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score: 122.1; Rank 188 of 270. Likely range 114.8 to 124.7.
Human preference: chat: 1243; Rank 156 of 166. 62,436 votes.
Human preference: coding: 1296; Rank 153 of 166. 10,418 votes.
Price per million tokens: $0.50 in / $1.50 out; Blended $0.75. Cached input $0.05. 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, 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 Large 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 Large compared with all models we trackOverall capability: 122.1. Better than 30% of the other 269 models. Human preference: chat: 1243. Better than 6% of the other 165 models. Human preference: coding: 1296. Better than 7% of the other 165 models. Price: $0.75 per 1M. Cheaper than 59% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.

Overall capability122.1
Better than 30% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1243
Better than 6% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1296
Better than 7% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$0.75 per 1M
Cheaper than 59% of the other 200 priced modelsUpper half
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 Large 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.
38.8%
Place 159 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.
1.9%
Place 163 of 174
tied with 2 others

What it costs in everyday terms

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

100 chats: $0.13; 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: $0.05; 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: $0.75 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 Large

How much does Mistral Large cost?: Mistral Large costs $0.50 per million input tokens and $1.50 per million output tokens, using the list price from Mistral AI as of 26 Oct 2026. That is about $0.13 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 Large?: Mistral Large 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 Large open source?: We list Mistral Large 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 Large compared with other AI models?: On the Epoch Capabilities Index, Mistral Large scores 122.1 (likely range 114.8 to 124.7), which ranks 188 of 270 models we track. On Arena's human-vote text board it is ranked 156 of 166. Scores close together are a tie in practice.
How does Mistral Large compare with Gemma 2 27B?: On quality, neither model leads clearly across the 5 measures both have. 3 measures are too close to call. Their blended prices are similar ($0.75 and $0.80 per million tokens). See the full comparison for every measure.
How current are these numbers for Mistral Large?: 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