The AI arena is free today

Open Superagent

GPT-4o vs Mistral Small 3.2 24B Instruct

GPT-4o leads the LLM Stats Score 14.3 to 8.6.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-4o leads the overall LLM Stats Score 14.3 to 8.6, ranking #226 overall.

In the 9 individual benchmarks reported for both models, GPT-4o wins 6; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-4o

  • overall performance matters — it scores 14.3 and ranks #226 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 6 of 9 exact shared results

Choose Mistral Small 3.2 24B Instruct

  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
14.3
#226
8.6
#265
16.0
#207
8.0
#267
Cost, coverage & limits
Benchmark wins
6 of 9
3 of 9
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

5 shared
Index
GPT-4o
Mistral Small 3.2 24B Instruct
12.7#225
11.4#237
8.9#129
10.6#117
12.6#103
13.7#98
16.4#109
9.6#144
16.4#92
9.6#128
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

38 reported for GPT-4o · 15 for Mistral Small 3.2 24B Instruct

9 shared

GPT-4o outperforms in 6 benchmarks (AI2D, GPQA, MMLU, MMLU-Pro, MMMU, SimpleQA), while Mistral Small 3.2 24B Instruct is better at 3 benchmarks (ChartQA, DocVQA, MathVista).

GPT-4o shows notably better performance in the majority of benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (16,384 tokens).

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o and Mistral Small 3.2 24B Instruct support multimodal inputs.

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

GPT-4o

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Mistral Small 3.2 24B Instruct 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 Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 11 months newer than GPT-4o.

GPT-4o

Aug 6, 2024

2.1 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.2 years ago

10mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while GPT-4o's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4o and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

GPT-4o
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about GPT-4o vs Mistral Small 3.2 24B Instruct.

Which is better, GPT-4o or Mistral Small 3.2 24B Instruct?

GPT-4o leads the LLM Stats Score 14.3 to 8.6. GPT-4o is made by OpenAI and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4o compare to Mistral Small 3.2 24B Instruct in benchmarks?

GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for GPT-4o and Mistral Small 3.2 24B Instruct?

GPT-4o supports 128K tokens and Mistral Small 3.2 24B Instruct supports an unknown number of 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 Small 3.2 24B Instruct?

Key differences include LLM Stats Score (14.3 vs 8.6), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o and Mistral Small 3.2 24B Instruct?

GPT-4o is developed by OpenAI and Mistral Small 3.2 24B Instruct is developed by Mistral AI.