GPT-4o vs Mistral Large 2
GPT-4o and Mistral Large 2 are closely matched at 14.3 and 7.7 on the LLM Stats Score. Mistral Large 2 is 1.5x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4o and Mistral Large 2 are closely matched on the overall LLM Stats Score at 14.3 and 7.7.
In the 1 individual benchmarks reported for both models, GPT-4o wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 2 is roughly 1.5x 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 GPT-4o
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2024
Choose Mistral Large 2
- your work emphasizes coding — it leads those capability indexes
- cost matters — it's about 1.5x 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
38 reported for GPT-4o · 5 for Mistral Large 2
GPT-4o outperforms in 1 benchmarks (MMLU), while Mistral Large 2 is better at 0 benchmarks.
GPT-4o significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 1.3x more expensive than Mistral Large 2 ($2.00/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 1.7x more expensive than Mistral Large 2 ($6.00/1M tokens).
In conclusion, GPT-4o 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
Both models have the same input context window of 128,000 tokens. Mistral Large 2 can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas Mistral Large 2 does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Mistral Large 2
License
Usage and distribution terms
GPT-4o 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-4o was released on 2024-08-06, while Mistral Large 2 was released on 2024-07-24.
GPT-4o is 0 month newer than Mistral Large 2.
Aug 6, 2024
2.1 years ago
1w newerJul 24, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-4o is available from Azure, OpenAI. Mistral Large 2 is available from Google, Mistral AI.
GPT-4o
Mistral Large 2
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Mistral Large 2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Mistral Large 2.