Model Comparison

GPT-4o vs Mistral Large 3

Mistral Large 3 significantly outperforms across most benchmarks. Mistral Large 3 is 1.6x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-4o outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH).

Mistral Large 3 significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 costs less

For input processing, GPT-4o ($2.50/1M tokens) is 1.3x more expensive than Mistral Large 3 ($2.00/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 2.0x more expensive than Mistral Large 3 ($5.00/1M tokens).

In conclusion, GPT-4o is more expensive than Mistral Large 3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
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Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Mistral Large 3 can generate longer responses up to 8,192 tokens, while GPT-4o is limited to 4,096 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o and Mistral Large 3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4o

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Mistral Large 3 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-4o

Proprietary

Closed source

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while Mistral Large 3 was released on 2025-09-01.

Mistral Large 3 is 16 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.0 years ago

Mistral Large 3

Sep 1, 2025

8 months ago

1.3yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-4o is available from Azure, OpenAI. Mistral Large 3 is available from Mistral AI.

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

No standout differentiators in the data we have for this pair.

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (90.4% vs 76.6%)
OpenAIGPT-4o
Mistral AIMistral Large 3

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o
Mistral AI
Mistral Large 3

FAQ

Common questions about GPT-4o vs Mistral Large 3.

Which is better, GPT-4o or Mistral Large 3?

Mistral Large 3 significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and Mistral Large 3 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o compare to Mistral Large 3 in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

Is GPT-4o cheaper than Mistral Large 3?

Mistral Large 3 is 1.3x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral.

What are the context window sizes for GPT-4o and Mistral Large 3?

GPT-4o supports 128K tokens and Mistral Large 3 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o and Mistral Large 3?

Key differences include input pricing ($2.50 vs $2.00/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Mistral Large 3?

GPT-4o is developed by OpenAI and Mistral Large 3 is developed by Mistral AI.