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GPT-4 vs Mistral Small 3 24B Base

GPT-4 and Mistral Small 3 24B Base are closely matched at 3.0 and -0.3 on the LLM Stats Score.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-4 and Mistral Small 3 24B Base are closely matched on the overall LLM Stats Score at 3.0 and -0.3.

In the 3 individual benchmarks reported for both models, GPT-4 wins 2; 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-4

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose Mistral Small 3 24B Base

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

At a glance

The differences that matter most.

GPT-4
OpenAI
Mistral Small 3 24B Base
Mistral AI
Core performance indexes
LLM Stats Score
3.0
#309
-0.3
#326
Reasoning
3.0
#301
-0.3
#320
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$30.00 / M
— / M
Output price
$60.00 / M
— / M
Context window
32,768
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
Mistral Small 3 24B Base
Math
8.5#258
4.5#280
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 9 for Mistral Small 3 24B Base

3 shared

GPT-4 outperforms in 2 benchmarks (GPQA, MMLU), while Mistral Small 3 24B Base is better at 1 benchmark (MATH).

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

Sat Sep 12 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-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4 and Mistral Small 3 24B Base support multimodal inputs.

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

GPT-4

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Mistral Small 3 24B Base uses Apache 2.0.

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

GPT-4

Proprietary

Closed source

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Mistral Small 3 24B Base was released on 2025-01-30.

Mistral Small 3 24B Base is 20 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.2 years ago

Mistral Small 3 24B Base

Jan 30, 2025

1.6 years ago

1.6yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while Mistral Small 3 24B Base has a cutoff of 2023-10-01.

Mistral Small 3 24B Base has more recent training data (up to 2023-10-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

Mistral Small 3 24B Base

Oct 2023

10 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-4 and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about GPT-4 vs Mistral Small 3 24B Base.

Which is better, GPT-4 or Mistral Small 3 24B Base?

GPT-4 and Mistral Small 3 24B Base are closely matched on the LLM Stats Score at 3.0 and -0.3. GPT-4 is made by OpenAI and Mistral Small 3 24B Base 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-4 compare to Mistral Small 3 24B Base in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for GPT-4 and Mistral Small 3 24B Base?

GPT-4 supports 33K tokens and Mistral Small 3 24B Base 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-4 and Mistral Small 3 24B Base?

Key differences include LLM Stats Score (3.0 vs -0.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 and Mistral Small 3 24B Base?

GPT-4 is developed by OpenAI and Mistral Small 3 24B Base is developed by Mistral AI.

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