Model Comparison
GPT-4 vs Mistral Large 2Which is better in 2026?
Both models are evenly matched across the benchmarks. Mistral Large 2 is 12.5x cheaper per token.
Verdict: GPT-4 vs Mistral Large 2 — which is better?
GPT-4 (by OpenAI) and Mistral Large 2 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4 outperforms in 1 benchmarks (MMLU), while Mistral Large 2 is better at 1 benchmark (HumanEval). Both models are evenly matched across the benchmarks.
On price, Mistral Large 2 is roughly 12.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 2 also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 if…
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose Mistral Large 2 if…
- 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 Jul 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 1 benchmarks (MMLU), while Mistral Large 2 is better at 1 benchmark (HumanEval).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 15.0x more expensive than Mistral Large 2 ($2.00/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 10.0x more expensive than Mistral Large 2 ($6.00/1M tokens).
In conclusion, GPT-4 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
Mistral Large 2 accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Mistral Large 2 can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas Mistral Large 2 does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
Mistral Large 2
License
Usage and distribution terms
GPT-4 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
GPT-4 was released on 2023-06-13, while Mistral Large 2 was released on 2024-07-24.
Mistral Large 2 is 14 months newer than GPT-4.
Jun 13, 2023
3.0 years ago
Jul 24, 2024
1.9 years ago
1.1yr newerKnowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Mistral Large 2'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 Mistral Large 2's cutoff date.
Dec 2022
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Provider Availability
GPT-4 is available from Azure, OpenAI. Mistral Large 2 is available from Google, Mistral AI.
GPT-4
Mistral Large 2
Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
Mistral Large 2
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about GPT-4 vs Mistral Large 2.