Model Comparison

GPT-4o mini vs Mistral Small 3.1 24B Base

GPT-4o mini significantly outperforms across most benchmarks. Mistral Small 3.1 24B Base is 1.7x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4o mini outperforms in 3 benchmarks (GPQA, MMLU, MMMU), while Mistral Small 3.1 24B Base is better at 0 benchmarks.

GPT-4o mini significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.1 24B Base costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 1.5x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 2.0x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, GPT-4o mini is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Mistral Small 3.1 24B Base 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 Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and Mistral Small 3.1 24B Base support multimodal inputs.

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

GPT-4o mini

Text
Images
Audio
Video

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while Mistral Small 3.1 24B Base uses Apache 2.0.

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

GPT-4o mini

Proprietary

Closed source

Mistral Small 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Mistral Small 3.1 24B Base was released on 2025-03-17.

Mistral Small 3.1 24B Base is 8 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.8 years ago

Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 years ago

8mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Mistral Small 3.1 24B Base'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 Small 3.1 24B Base's cutoff date.

GPT-4o mini

Oct 2023

Mistral Small 3.1 24B Base

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Provider Availability

GPT-4o mini is available from Azure. Mistral Small 3.1 24B Base is available from Mistral AI.

GPT-4o mini

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

Mistral Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Higher GPQA score (40.2% vs 37.5%)
Higher MMLU score (82.0% vs 81.0%)
Higher MMMU score (59.4% vs 59.3%)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Mistral AI
Mistral Small 3.1 24B Base

FAQ

Common questions about GPT-4o mini vs Mistral Small 3.1 24B Base.

Which is better, GPT-4o mini or Mistral Small 3.1 24B Base?

GPT-4o mini significantly outperforms across most benchmarks. GPT-4o mini is made by OpenAI and Mistral Small 3.1 24B Base 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 mini compare to Mistral Small 3.1 24B Base in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is GPT-4o mini cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 1.5x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for GPT-4o mini and Mistral Small 3.1 24B Base?

GPT-4o mini supports 128K tokens and Mistral Small 3.1 24B Base 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 mini and Mistral Small 3.1 24B Base?

Key differences include input pricing ($0.15 vs $0.10/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Mistral Small 3.1 24B Base?

GPT-4o mini is developed by OpenAI and Mistral Small 3.1 24B Base is developed by Mistral AI.