Analysis Summary
Mistral Large 3 is Mistral's flagship large model in the Mistral 3 family, released December 2025. Its intelligence index of 15.9 and coding index of 20.1 place it in the mid-lower tier of the benchmarked landscape, but its MMLU Pro score of 0.807 and livecodebench of 0.465 indicate solid general knowledge and moderate coding ability. The agentic index of 20.2 is limited for autonomous workflows.
For businesses, this model is a reasonable fit for structured content generation, SEO copy, document summarisation, and mid-complexity reasoning tasks where cost efficiency matters. It is not a strong choice for software engineering agents, complex multi-step pipelines, or tasks requiring frontier-level reasoning. Long-context performance is moderate, and instruction-following scores are below the top tier.
At $0.50 input and $1.50 output per million tokens, it offers good value relative to its capability tier. Teams that need a capable general-purpose model without the cost of a frontier API will find it a practical option for content and structured output workloads.
Assessed July 10, 2026
Editorial notes
Mistral Large 3 offers a strong MMLU Pro score and reasonable coding capability at a competitive price, making it a practical choice for structured content and mid-complexity reasoning tasks.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Mistral Large 3 offers a strong MMLU Pro score and reasonable coding capability at a competitive price, making it a practical choice for structured content and mid-complexity reasoning tasks.
How Mistral Large 3 compares
Mistral Large 3 ranks #176 of 393 AI models we track for overall intelligence, #103 of 157 for coding, #277 of 300 for agentic tasks. At $0.50 per million input tokens it is cheaper than 37% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.50 | $0.000500 |
| Output | $1.50 | $0.001500 |
What would Mistral Large 3 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Mistral Large 3 for the hard ones. Most clients cut their estimate by 60-80%.
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<a href="https://designforonline.com/ai-models/mistral-mistral-large-3/"><img src="https://designforonline.com/?aiml_badge=mistral-mistral-large-3&theme=dark" alt="Mistral Large 3, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/mistral-mistral-large-3/"><img src="https://designforonline.com/?aiml_badge=mistral-mistral-large-3&theme=light" alt="Mistral Large 3, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Mistral Large 3
How much does Mistral Large 3 cost?
Mistral Large 3 costs $0.50 per million input tokens and $1.50 per million output tokens.
Is Mistral Large 3 good for coding?
On our coding benchmark index, Mistral Large 3 ranks #103 of 157 models, placing it in the broader range of the field for code generation and debugging.
Who created Mistral Large 3?
Mistral Large 3 is developed by Mistral and was released on December 2, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 8:38 pm