Mistral: Mistral Large 3 2512

Text input Image input Text output
Author's Description

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.

Key Specifications
Cost
$$$
Context
262K
Parameters
32B (Rumoured)
Released
Dec 01, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Tool Choice Temperature Presence Penalty Max Tokens Seed Structured Outputs Response Format Frequency Penalty Top P Stop
Features

This model supports the following features:

Structured Outputs Response Format Tools
Performance Summary

Mistral Large 3 2512, Mistral’s most capable model to date, demonstrates exceptional performance across various metrics. It consistently ranks among the fastest models, achieving an Infinityth percentile across 8 benchmarks, and offers highly competitive pricing, also at the Infinityth percentile across 8 benchmarks. The model exhibits outstanding reliability with a 100% success rate across all evaluated benchmarks, indicating minimal technical failures. In terms of benchmark performance, Mistral Large 3 2512 shows a perfect 100.0% accuracy in General Knowledge, making it the most accurate model at its price point and among models of comparable speed. It also excels in Mathematics with 94.0% accuracy (83rd percentile) and Coding with 91.0% accuracy (70th percentile). Instruction Following and Reasoning also show strong results at 71.0% (77th percentile) and 80.0% (61st percentile) respectively. While Ethics achieved a respectable 99.0% accuracy, its Hallucinations score of 0.0% accuracy indicates a significant area for improvement, as it failed to appropriately acknowledge uncertainty. Overall, the model's key strengths lie in its speed, cost-effectiveness, reliability, and strong performance in knowledge-based and mathematical tasks. Its primary weakness is its current inability to appropriately handle uncertainty, as evidenced by the Hallucinations benchmark.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.5
Completion $1.5
Input Cache Read $0.05

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-large-2512 262K $0.5 / 1M tokens $1.5 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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