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.
General Benchmarks
Coding Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context 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).
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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 131K 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 the AI Value Index.
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.