Claude Opus 5.5 vs Mistral Large 2
Claude Opus 5.5 leads the LLM Stats Score 59.8 to 7.4. Mistral Large 2 is 2.7x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Opus 5.5 leads the overall LLM Stats Score 59.8 to 7.4, ranking #1 overall.
On price, Mistral Large 2 is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Opus 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Opus 5.5
- overall performance matters — it scores 59.8 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mistral Large 2
- cost matters — it's about 2.7x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Claude Opus 5.5 · 5 for Mistral Large 2
Claude Opus 5.5 and Mistral Large 2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Opus 5.5 ($4.00/1M tokens) is 2.0x more expensive than Mistral Large 2 ($2.00/1M tokens).
For output processing, Claude Opus 5.5 ($20.00/1M tokens) is 3.3x more expensive than Mistral Large 2 ($6.00/1M tokens).
In conclusion, Claude Opus 5.5 is more expensive than Mistral Large 2.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Opus 5.5 accepts 1,000,000 input tokens compared to Mistral Large 2's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Opus 5.5 supports multimodal inputs, whereas Mistral Large 2 does not.
Claude Opus 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Opus 5.5
Mistral Large 2
License
Usage and distribution terms
Claude Opus 5.5 is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
Claude Opus 5.5 was released on 2026-09-22, while Mistral Large 2 was released on 2024-07-24.
Claude Opus 5.5 is 26 months newer than Mistral Large 2.
Sep 22, 2026
0 days ago
2.2yr newerJul 24, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Claude Opus 5.5 has a documented knowledge cutoff of 2026-06-01, while Mistral Large 2's cutoff date is not specified.
We can confirm Claude Opus 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 2's cutoff date.
Jun 2026
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Provider Availability
Claude Opus 5.5 is available from Anthropic. Mistral Large 2 is available from Google, Mistral AI.
Claude Opus 5.5
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5.5 and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5.5 vs Mistral Large 2.