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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.

Core performance indexes
3.6
#306
8.4
#277
4.1
#296
7.9
#278
Cost, coverage & limits
Benchmark wins
2 of 5
3 of 5
Input price
$0.15 / M
$0.07 / M
Output price
$0.60 / M
$0.20 / M
Context window
128,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o mini
Mistral Small 3.2 24B Instruct
11.4#241
11.1#245
-0.4#185
10.1#122
2.5#145
13.2#101
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

5 shared

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.

Fri Sep 11 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.2 24B Instruct costs less

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

Lowest available price from all providers
Fri Sep 11 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.07
Output tokens$0.20
Best providerDeepinfra
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 3.2 24B Instruct 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 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Fri Sep 11 2026 • llm-stats.com

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

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

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.

GPT-4o mini

Proprietary

Closed source

Mistral Small 3.2 24B Instruct

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.

GPT-4o mini

Jul 18, 2024

2.2 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.2 years ago

11mo newer

Knowledge 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.

GPT-4o mini

Oct 2023

Mistral Small 3.2 24B Instruct

Oct 2023

Provider Availability

GPT-4o mini is available from Azure. Mistral Small 3.2 24B Instruct is available from DeepInfra.

GPT-4o mini

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

Mistral Small 3.2 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

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.

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

FAQ

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

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

GPT-4o mini and Mistral Small 3.2 24B Instruct are closely matched on the LLM Stats Score at 3.6 and 8.4. GPT-4o mini 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 mini compare to Mistral Small 3.2 24B Instruct in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

Is GPT-4o mini cheaper than Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct is 2.0x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via deepinfra.

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

GPT-4o mini supports 128K tokens and Mistral Small 3.2 24B Instruct 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 3.2 24B Instruct?

Key differences include LLM Stats Score (3.6 vs 8.4), input pricing ($0.15 vs $0.07/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 3.2 24B Instruct?

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