GPT-4o mini vs Mistral Small 3.2 24B Instruct
GPT-4o mini and Mistral Small 3.2 24B Instruct are closely matched at 3.6 and 8.4 on the LLM Stats Score. Mistral Small 3.2 24B Instruct is 2.5x cheaper per token.
OpenAI · Mistral AI · Updated for 2026
Which is better?
GPT-4o mini and Mistral Small 3.2 24B Instruct are closely matched on the overall LLM Stats Score at 3.6 and 8.4.
In the 5 individual benchmarks reported for both models, Mistral Small 3.2 24B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Small 3.2 24B Instruct is roughly 2.5x 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 mini
- you want predictable pricing at $0.15/M input and $0.60/M output
Choose Mistral Small 3.2 24B Instruct
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- cost matters — it's about 2.5x 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
9 reported for GPT-4o mini · 15 for Mistral Small 3.2 24B Instruct
GPT-4o mini outperforms in 2 benchmarks (MATH, MMLU), while Mistral Small 3.2 24B Instruct is better at 3 benchmarks (GPQA, MathVista, MMMU).
Mistral Small 3.2 24B Instruct has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o mini ($0.15/1M tokens) is 2.0x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, GPT-4o mini ($0.60/1M tokens) is 3.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, GPT-4o mini 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 mini is limited to 16,384 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o mini 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 mini
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
GPT-4o mini 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 mini was released on 2024-07-18, 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 mini.
Jul 18, 2024
2.2 years ago
Jun 20, 2025
1.2 years ago
11mo newerKnowledge Cutoff
When training data ends
Both models have the same knowledge cutoff date of 2023-10-01.
They should have similar awareness of historical events and information up to this date.
Oct 2023
Oct 2023
Provider Availability
GPT-4o mini is available from Azure. Mistral Small 3.2 24B Instruct is available from DeepInfra.
GPT-4o mini
Mistral Small 3.2 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Mistral Small 3.2 24B Instruct.
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