Back to models
mistralaimodel
Mistral: Mistral Nemo
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,...
Best for
Bulk Data ExtractionHigh-Volume TasksLong DocumentsBook Summarisation
Context Window
131K tokens ≈ 291 pages of text
Input Cost
$0.02/1M
Output Cost
$0.03/1M
Latency p50
—
Pricing Details
Standard Pricing
Input (per 1M tokens)
$0.02
Output (per 1M tokens)
$0.03
Price history
5/17/2026$0.02 in / $0.04 out
4/29/2026$0.02 in / $0.03 out
4/27/2026$0.02 in / $0.04 out
4/24/2026$0.01 in / $0.03 out
4/11/2026$0.02 in / $0.04 out
Hallucination Score™ (est.)
Community reliability estimate · not official
70
Generally reliable
About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.
Price HistoryPro
Input & output cost per 1M tokens over time
Price history is a Pro feature
Track pricing trends and catch price drops early.
Upgrade to Pro — $19/mo →Provider
mistralai
Community Prompts
Proven prompts shared by the community for this model
Loading prompts…