GPT-4o vs Mistral Small 3.2 24B Instruct
GPT-4o leads the LLM Stats Score 14.1 to 8.4. Mistral Small 3.2 24B Instruct is 41.2x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4o leads the overall LLM Stats Score 14.1 to 8.4, ranking #241 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.
On price, Mistral Small 3.2 24B Instruct is roughly 41.2x 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
- overall performance matters — it scores 14.1 and ranks #241 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
- cost matters — it's about 41.2x cheaper per token
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
38 reported for GPT-4o · 15 for Mistral Small 3.2 24B Instruct
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.
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 33.3x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 50.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, GPT-4o is more expensive than Mistral Small 3.2 24B Instruct.*
* 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 Small 3.2 24B Instruct 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
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
Mistral Small 3.2 24B Instruct
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.
Proprietary
Closed source
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.
Aug 6, 2024
2.1 years ago
Jun 20, 2025
1.3 years ago
10mo newerKnowledge 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.
—
Oct 2023
Provider Availability
GPT-4o is available from Azure, OpenAI. Mistral Small 3.2 24B Instruct is available from DeepInfra.
GPT-4o
Mistral Small 3.2 24B Instruct
Outputs Comparison
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.
FAQ
Common questions about GPT-4o vs Mistral Small 3.2 24B Instruct.