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llmwaves

Mistral Nemo

Mistral AI · released Jul 19, 2024

Open weightsTool useStructured output

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

Specification

Context window
131K
Max output
16K
Knowledge cutoff
Apr 30, 2024
Parameters
12.2B
Licence
apache-2.0
Serving providers
4
Moderated
No
Uptime
97.4%

Intelligence

Not benchmarked

Coding

Coding Index

Agentic

Agentic Index

Output speed

17 t/s

Median across providers

Latency

518ms

Time to first token

Cost per task

$0.002

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table
ModelIntelligence
Claude Opus 563.1
Claude Fable 562.1
GPT-5.6 Sol60.9
Kimi K359.7
Qwen3.8 Max58.1
Claude Opus 4.857.3
Muse Spark 1.256.8

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens
$0.019
Output / 1M tokens
$0.03
Cached input / 1M
Not offered
Blended 3:1
$0.022

One task, estimated

$0.002

Input tokens
50,000
Output tokens
25,000
Profile
Standard

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.