GPT-5.5 vs Mistral Large 4
GPT-5.5 and Mistral Large 4 are closely matched at 47.3 and 46.4 on the LLM Stats Score. Mistral Large 4 is 10.9x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-5.5 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 47.3 and 46.4.
In the 3 individual benchmarks reported for both models, Mistral Large 4 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 10.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.5 also accepts a larger context window (1,050,000 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 GPT-5.5
- you process long inputs — it offers a 1,050,000 token context window
Choose Mistral Large 4
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 10.9x 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
28 reported for GPT-5.5 · 15 for Mistral Large 4
GPT-5.5 outperforms in 1 benchmarks (DeepSWE 1.1), while Mistral Large 4 is better at 2 benchmarks (CyberGym, Finance Agent v2).
Mistral Large 4 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, GPT-5.5 ($5.00/1M tokens) is 7.4x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, GPT-5.5 ($30.00/1M tokens) is 14.4x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, GPT-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
GPT-5.5 accepts 1,050,000 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only GPT-5.5 specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both GPT-5.5 and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-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
GPT-5.5 was released on 2026-04-23, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 6 months newer than GPT-5.5.
Apr 23, 2026
5 months ago
Oct 6, 2026
1 days ago
5mo newerKnowledge Cutoff
When training data ends
GPT-5.5 has a documented knowledge cutoff of 2025-12-01, while Mistral Large 4's cutoff date is not specified.
We can confirm GPT-5.5's training data extends to 2025-12-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Dec 2025
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Provider Availability
GPT-5.5 is available from OpenAI. Mistral Large 4 is available from Mistral AI.
GPT-5.5
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.5 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.5 vs Mistral Large 4.