How much does Mistral NeMo cost?

Mistral NeMo costs $0.13 per million input tokens and $0.15 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.02 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 NeMo?

Mistral NeMo has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 131K tokens long.

Is Mistral NeMo open source?

Mistral NeMo has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.

How good is Mistral NeMo compared with other AI models?

On the Epoch Capabilities Index, Mistral NeMo scores 118.7 (likely range 111.1 to 121.4), which ranks 201 of 270 models we track. Scores close together are a tie in practice.

How does Mistral NeMo compare with Qwen2.5-7B?

Qwen2.5-7B scores higher on 1 of 2 shared quality measures, Mistral NeMo on 0. 1 measure is too close to call. Qwen2.5-7B costs about 43% less than Mistral NeMo on a blended price of $0.078 against $0.14 per million tokens. See the full comparison for every measure.

How current are these numbers for Mistral NeMo?

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 NeMo: Score, Price and Context Window

Where Mistral NeMo 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
Open weights
Released Jul 2024

Its score range overlaps with Claude 3 Haiku, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Running it yourself: its weights can be downloaded (read the licence terms first).

Skip if

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: 118.7; Rank 201 of 270. Likely range 111.1 to 121.4.
Price per million tokens: $0.13 in / $0.15 out; Blended $0.14. Median across hosting providers, checked 26 Oct 2026.
Context window: 128K tokens; About 96,000 words at once. One answer up to 131K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use.

We do not have an Arena human-vote rating for Mistral NeMo yet. It is shown as "Not measured" rather than guessed.

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 NeMo 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 NeMo compared with all models we trackOverall capability: 118.7. Better than 25% of the other 269 models. Price: $0.14 per 1M. Cheaper than 91% of the other 200 priced models. Context window: 128K tokens. Larger context window than 19% of the other 198 models.

Overall capability118.7
Better than 25% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Price$0.14 per 1M
Cheaper than 91% of the other 200 priced modelsTop 10%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window128K tokens
Larger context window than 19% of the other 198 models
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 NeMo 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.
29.9%
Place 172 of 183

What it costs in everyday terms

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

100 chats: $0.02; 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: $0.01; 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: $0.14 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 NeMo

How much does Mistral NeMo cost?: Mistral NeMo costs $0.13 per million input tokens and $0.15 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.02 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 NeMo?: Mistral NeMo has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 131K tokens long.
Is Mistral NeMo open source?: Mistral NeMo has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
How good is Mistral NeMo compared with other AI models?: On the Epoch Capabilities Index, Mistral NeMo scores 118.7 (likely range 111.1 to 121.4), which ranks 201 of 270 models we track. Scores close together are a tie in practice.
How does Mistral NeMo compare with Qwen2.5-7B?: Qwen2.5-7B scores higher on 1 of 2 shared quality measures, Mistral NeMo on 0. 1 measure is too close to call. Qwen2.5-7B costs about 43% less than Mistral NeMo on a blended price of $0.078 against $0.14 per million tokens. See the full comparison for every measure.
How current are these numbers for Mistral NeMo?: 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.
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