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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
$0.04/1M
Latency p50
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Pricing Details
Standard Pricing
Input (per 1M tokens)
$0.02
Output (per 1M tokens)
$0.04
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 History
Not enough historical data yet. Check back after the next pricing sync.
Provider
mistralai
Community Prompts
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