Mistral Large 3 2512
mistral-large-2512Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license. Built by Mistral AI.
Prices updated
Input price
$0.50
per 1M tokens · Standard
Output price
$1.50
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
210K
tokens
Input formats
Output formats
Mistral Large 3 2512 price history
2 price records since 9/25/2026
Mistral Large 3 2512 cost calculator
$18/month
Standard pricing
Overview
What is Mistral Large 3 2512?
Mistral Large 3 2512 is a text & reasoning and vision model from Mistral AI. Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license. Its 262K context window and $0.50 input price make it a candidate for quality-focused production applications.
Benchmarks
Mistral Large 3 2512 benchmarks & speed
How Mistral Large 3 2512 scores on standardized evaluations, and where it lands among every model we track.
1146
DesignArena Elo
Latency & design
- DesignArena win rate
- 47.6%
- Design battles judged
- 30,430
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Mistral Large 3 2512 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.50
Per 1M tokens
Cached input · Standard
$0.05
Per 1M tokens
Capabilities
Mistral Large 3 2512 Tools
Tools available when using Mistral Large 3 2512 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (DesignArena Elo 1146) position it for demanding production work.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider