Claude Sonnet 5.5 vs Mistral Large 4
Claude Sonnet 5.5 leads the LLM Stats Score 58.5 to 46.4. Mistral Large 4 is 3.9x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Sonnet 5.5 leads the overall LLM Stats Score 58.5 to 46.4, ranking #2 overall.
In the 3 individual benchmarks reported for both models, Claude Sonnet 5.5 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 3.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Claude Sonnet 5.5
- overall performance matters — it scores 58.5 and ranks #2 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
Choose Mistral Large 4
- cost matters — it's about 3.9x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
47 reported for Claude Sonnet 5.5 · 15 for Mistral Large 4
Claude Sonnet 5.5 outperforms in 2 benchmarks (DeepSWE 1.1, Terminal-Bench 4.0), while Mistral Large 4 is better at 1 benchmark (AutomationBench).
Claude Sonnet 5.5 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Sonnet 5.5 ($2.00/1M tokens) is 2.9x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, Claude Sonnet 5.5 ($10.00/1M tokens) is 4.8x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Claude Sonnet 5.5 is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Only Claude Sonnet 5.5 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Claude Sonnet 5.5 and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Sonnet 5.5
Mistral Large 4
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Sonnet 5.5 was released on 2026-09-28, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 0 month newer than Claude Sonnet 5.5.
Sep 28, 2026
1 weeks ago
Oct 6, 2026
1 days ago
1w newerKnowledge Cutoff
When training data ends
Claude Sonnet 5.5 has a documented knowledge cutoff of 2026-06-01, while Mistral Large 4's cutoff date is not specified.
We can confirm Claude Sonnet 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Jun 2026
—
Provider Availability
Claude Sonnet 5.5 is available from Anthropic. Mistral Large 4 is available from Mistral AI.
Claude Sonnet 5.5
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Sonnet 5.5 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Sonnet 5.5 vs Mistral Large 4.