Mistral Large
Analysis Summary
Mistral Large is Mistral AI's flagship model from early 2024, carrying a measured intelligence index of 9.9. It supports tool use and function calling with a 128K context window and file input modality. Benchmark scores on GPQA and MMLU-Pro are modest, and livecodebench performance is limited, placing it well below current-generation models.
For business use, the 128K context window and tool use support make it viable for structured document workflows and basic agentic tasks. However, at $2/$6 per million tokens, it is priced in a tier where significantly more capable models are available. Reasoning and coding performance do not justify the cost relative to current Mistral or other provider offerings.
Teams using Mistral Large should evaluate migration to Mistral's more recent releases, which offer better benchmark performance at competitive pricing. The model retains some value for existing integrations but is not a strong choice for new deployments.
Assessed June 6, 2026
Editorial notes
Mistral Large from Mistral AI has measured benchmark data, tool use, function calling, and a 128K context window, but its intelligence index of 9.9 and pricing of $2/$6 per million tokens leave it outclassed by current alternatives.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Mistral Large compares
Mistral Large ranks #317 of 378 AI models we track for overall intelligence. Its 128K-token context window is larger than 43% of the models we list. At $2.00 per million input tokens it is cheaper than 16% of comparable models.
About Mistral Large
This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more...
Capabilities
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does Mistral Large stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $2.00 | $0.002000 |
| Output | $6.00 | $0.006000 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
Frequently asked questions about Mistral Large
How much does Mistral Large cost?
Mistral Large costs $2.00 per million input tokens and $6.00 per million output tokens.
What is the context window of Mistral Large?
Mistral Large has a context window of 128,000 tokens (128K).
What can Mistral Large do?
Mistral Large supports tool use and function calling.
Who created Mistral Large?
Mistral Large is developed by Mistral AI and was released on February 26, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm