Mistral Large 25.12 by Mistral demonstrates top-tier general intelligence, competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.
General Benchmarks
Human preference ELO from blind head-to-head votes
LMSYS / HuggingFaceArtificial Analysis composite intelligence score across 10 sub-benchmarks
Artificial Analysis (via OpenRouter)Massive Multitask Language Understanding professional benchmark
HuggingFace LeaderboardCoding Benchmarks
Artificial Analysis composite coding score
Artificial Analysis (via OpenRouter)Human preference ELO for building things — websites, UI, games, charts, SVG
Design Arena (via OpenRouter)Math Benchmarks
Reasoning Benchmarks
Artificial Analysis composite score for multi-step tool-using tasks
Artificial Analysis (via OpenRouter)Speed Benchmarks
Cost Benchmarks
Cost per 1M cached input tokens — the price that actually applies to a long agent conversation
OpenRouter APIContext Benchmarks
Mistral Large 25.12 — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
Compare Mistral Large 25.12 With
Mistral Large 25.12 — Frequently Asked Questions
How intelligent is Mistral Large 25.12?
Mistral Large 25.12 scores 1418 on the Chatbot Arena ELO rating, making it a high-performing AI model. This score is based on blind head-to-head human preference voting.
How much does Mistral Large 25.12 cost?
Mistral Large 25.12 costs $0.50 per 1M input tokens and $1.5 per 1M output tokens. This makes it one of the more affordable models.
How fast is Mistral Large 25.12?
Mistral Large 25.12 generates output at 70 tokens per second, which is slower, prioritizing quality over speed compared to other models. The time to first token is 380 ms.
How good is Mistral Large 25.12 at coding?
Mistral Large 25.12 achieves 42.0% on SWE-bench Verified, demonstrating moderate real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Mistral Large 25.12 at math and reasoning?
Mistral Large 25.12 scores 78.0% on the MATH benchmark (competition-level mathematics). It also achieves 52.0% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Mistral Large 25.12?
Mistral Large 25.12 has a context window of 262K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Mistral Large 25.12?
Mistral Large 25.12 was created by Mistral. It is classified as a flagship model in our catalogue.
Is Mistral Large 25.12 open source?
No, Mistral Large 25.12 is a proprietary model. It is available through Mistral's API and compatible providers.