Model Comparison
Claude Opus 4.6 vs Mistral Large 3Which is better in 2026?
Claude Opus 4.6 significantly outperforms across most benchmarks. Mistral Large 3 is 3.6x cheaper per token.
Verdict: Claude Opus 4.6 vs Mistral Large 3 — which is better?
Claude Opus 4.6 (by Anthropic) and Mistral Large 3 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Claude Opus 4.6 outperforms in 1 benchmarks (MMMLU), while Mistral Large 3 is better at 0 benchmarks. Claude Opus 4.6 significantly outperforms across most benchmarks.
On price, Mistral Large 3 is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 4.6 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Opus 4.6 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Feb 2026
Choose Mistral Large 3 if…
- cost matters — it's about 3.6x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Claude Opus 4.6 outperforms in 1 benchmarks (MMMLU), while Mistral Large 3 is better at 0 benchmarks.
Claude Opus 4.6 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 4.6 ($5.00/1M tokens) is 2.5x more expensive than Mistral Large 3 ($2.00/1M tokens).
For output processing, Claude Opus 4.6 ($25.00/1M tokens) is 5.0x more expensive than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Claude Opus 4.6 is more expensive than Mistral Large 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 4.6 accepts 1,000,000 input tokens compared to Mistral Large 3's 128,000 tokens. Claude Opus 4.6 can generate longer responses up to 128,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Claude Opus 4.6 and Mistral Large 3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 4.6
Mistral Large 3
License
Usage and distribution terms
Claude Opus 4.6 is licensed under a proprietary license, while Mistral Large 3 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Opus 4.6 was released on 2026-02-05, while Mistral Large 3 was released on 2025-09-01.
Claude Opus 4.6 is 5 months newer than Mistral Large 3.
Feb 5, 2026
4 months ago
5mo newerSep 1, 2025
9 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude Opus 4.6 is available from Anthropic. Mistral Large 3 is available from Mistral AI.
Claude Opus 4.6
Mistral Large 3
Outputs Comparison
Key Takeaways
Claude Opus 4.6
View detailsAnthropic
Mistral Large 3
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Claude Opus 4.6 vs Mistral Large 3.