Model Comparison

GPT-4o mini vs Mistral Large 2

Mistral Large 2 significantly outperforms across most benchmarks. GPT-4o mini is 11.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o mini outperforms in 0 benchmarks, while Mistral Large 2 is better at 2 benchmarks (HumanEval, MMLU).

Mistral Large 2 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 13.3x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 10.0x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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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 2 can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Mistral Large 2 does not.

GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o mini

Text
Images
Audio
Video

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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.

GPT-4o mini

Proprietary

Closed source

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Mistral Large 2 was released on 2024-07-24.

Mistral Large 2 is 0 month newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Mistral Large 2

Jul 24, 2024

1.7 years ago

6d newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Mistral Large 2's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Mistral Large 2's cutoff date.

GPT-4o mini

Oct 2023

Mistral Large 2

—

Provider Availability

GPT-4o mini is available from Azure. Mistral Large 2 is available from Google, Mistral AI.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Mistral AI
Has open weights
Higher HumanEval score (92.0% vs 87.2%)
Higher MMLU score (84.0% vs 82.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Mistral AI
Mistral Large 2

FAQ

Common questions about GPT-4o mini vs Mistral Large 2

Mistral Large 2 significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.
GPT-4o mini is 13.3x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.
GPT-4o mini supports 128K tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.15 vs $2.00/M), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.
GPT-4o mini is developed by OpenAI and Mistral Large 2 is developed by Mistral AI.