RSS

Mistral AI

Mistral Nemo

Benchmarks, price, context and versions

Also searched as

Mistral-Nemo

Direct answer: Mistral Nemo is a model from Mistral AI. 29.9% on GPQA Diamond, per Epoch AI. On OpenRouter, US$ 0.029 per 1 million input tokens and US$ 0.03 per 1 million output tokens.

✓ Good for

  • high-volume use (input price in the cheapest 25% on OpenRouter)
  • running on your own infrastructure (open weights)

✕ Not the best for

  • technical reasoning on science topics (#183 of 198 on GPQA Diamond)

This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.

Benchmarks

GPQA Diamond

?what it is
29.9%

highest score on this metric 96.4%

183º / 198 · Epoch AI, latest version we checked

Key specs

Origin
France
Family
Mistral Nemo provisional data
Weights?
open
License
apache-2.0
Input US$/1M?
US$ 0.029
Output US$/1M
US$ 0.03
Context?
131,072 tokens
Parameters
12,247,782,400
Input
text
OpenRouter usage?
no data
Downloads (30 days)?
96,932
Use cases provisional data
Text Agents
Dates in sources
  • 2024, published, per Epoch AI
  • 2024, listed on OpenRouter
  • 2024, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is Mistral Nemo?

Mistral Nemo is a model from Mistral AI, with open weights, used for text, agents.

How much does Mistral Nemo cost?

On OpenRouter, US$ 0.029 per 1 million input tokens and US$ 0.03 per 1 million output tokens.

What is the context window of Mistral Nemo?

131,072 tokens, per OpenRouter.

Is Mistral Nemo open source?

Yes, it has open weights. License: apache-2.0.

What is Mistral Nemo's GPQA Diamond score?

29.9% on GPQA Diamond, per Epoch AI.

Is Mistral Nemo good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made Mistral Nemo?

It was made by Mistral AI, a lab from France.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Models from Mistral AI

See lab

Sources

  • Epoch AI, CC BY 4.0, latest version we checked.
  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.