Claude Opus 5.5 vs Mistral Small 3.1 24B Base
Claude Opus 5.5 leads the LLM Stats Score 59.7 to 0.3. Mistral Small 3.1 24B Base is 53.3x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Opus 5.5 leads the overall LLM Stats Score 59.7 to 0.3, ranking #1 overall.
On price, Mistral Small 3.1 24B Base is roughly 53.3x 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 59.7 and ranks #1 on LLM Stats
- your work emphasizes reasoning — 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 Small 3.1 24B Base
- cost matters — it's about 53.3x 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 Small 3.1 24B Base
Claude Opus 5.5 and Mistral Small 3.1 24B Basedon'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 40.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Claude Opus 5.5 ($20.00/1M tokens) is 66.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Claude Opus 5.5 is more expensive than Mistral Small 3.1 24B Base.*
* 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 Small 3.1 24B Base's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Opus 5.5 and Mistral Small 3.1 24B Base support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Opus 5.5
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Claude Opus 5.5 is licensed under a proprietary license, while Mistral Small 3.1 24B Base 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 5.5 was released on 2026-09-22, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Claude Opus 5.5 is 18 months newer than Mistral Small 3.1 24B Base.
Sep 22, 2026
0 days ago
1.5yr newerMar 17, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Claude Opus 5.5 has a documented knowledge cutoff of 2026-06-01, while Mistral Small 3.1 24B Base'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 Small 3.1 24B Base's cutoff date.
Jun 2026
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Provider Availability
Claude Opus 5.5 is available from Anthropic. Mistral Small 3.1 24B Base is available from Mistral AI.
Claude Opus 5.5
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Opus 5.5 and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Opus 5.5 vs Mistral Small 3.1 24B Base.