GPT-4 vs Pixtral Large
Pixtral Large leads the LLM Stats Score 11.8 to 3.2. Pixtral Large is 12.5x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
Pixtral Large leads the overall LLM Stats Score 11.8 to 3.2, ranking #245 overall.
On price, Pixtral Large is roughly 12.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Pixtral Large also accepts a larger context window (128,000 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-4
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose Pixtral Large
- overall performance matters — it scores 11.8 and ranks #245 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 12.5x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Nov 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
12 reported for GPT-4 · 7 for Pixtral Large
GPT-4 and Pixtral Largedon'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, GPT-4 ($30.00/1M tokens) is 15.0x more expensive than Pixtral Large ($2.00/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 10.0x more expensive than Pixtral Large ($6.00/1M tokens).
In conclusion, GPT-4 is more expensive than Pixtral Large.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Pixtral Large accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Pixtral Large can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4 and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
Pixtral Large
License
Usage and distribution terms
GPT-4 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
GPT-4 was released on 2023-06-13, while Pixtral Large was released on 2024-11-18.
Pixtral Large is 17 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Nov 18, 2024
1.8 years ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Pixtral Large's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Pixtral Large's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Pixtral Large is available from Mistral AI.
GPT-4
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs Pixtral Large.