The AI arena is free today

Open Superagent

GPT-4.5 vs Mistral Small 3 24B Base

GPT-4.5 leads the LLM Stats Score 20.2 to -0.3.

OpenAI · Mistral AI · Updated for 2026

Which is better?

GPT-4.5 leads the overall LLM Stats Score 20.2 to -0.3, ranking #196 overall.

In the 3 individual benchmarks reported for both models, GPT-4.5 wins 3; 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-4.5

  • overall performance matters — it scores 20.2 and ranks #196 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Feb 2025

Choose Mistral Small 3 24B Base

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
20.2
#196
-0.3
#327
20.4
#187
-0.3
#321
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$75.00 / M
— / M
Output price
$150.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4.5
Mistral Small 3 24B Base
20.7#155
4.5#280
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

26 reported for GPT-4.5 · 9 for Mistral Small 3 24B Base

3 shared

GPT-4.5 outperforms in 3 benchmarks (GPQA, GSM8k, MMLU), while Mistral Small 3 24B Base is better at 0 benchmarks.

GPT-4.5 significantly outperforms across most benchmarks.

Sun Sep 20 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-4.5 specifies input context (128,000 tokens). Only GPT-4.5 specifies output context (4,096 tokens).

OpenAI
GPT-4.5
Input128,000 tokens
Output4,096 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4.5 and Mistral Small 3 24B Base support multimodal inputs.

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

GPT-4.5

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4.5 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-4.5

Proprietary

Closed source

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4.5 was released on 2025-02-27, while Mistral Small 3 24B Base was released on 2025-01-30.

GPT-4.5 is 1 month newer than Mistral Small 3 24B Base.

GPT-4.5

Feb 27, 2025

1.6 years ago

4w newer
Mistral Small 3 24B Base

Jan 30, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3 24B Base has a documented knowledge cutoff of 2023-10-01, while GPT-4.5's cutoff date is not specified.

We can confirm Mistral Small 3 24B Base's training data extends to 2023-10-01, but cannot make a direct comparison without GPT-4.5's cutoff date.

GPT-4.5

Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4.5 and Mistral Small 3 24B Base side-by-side, then vote on the output you prefer.

GPT-4.5
✓ Preferred
Mistral Small 3 24B Base
Open in Playground

FAQ

Common questions about GPT-4.5 vs Mistral Small 3 24B Base.

Which is better, GPT-4.5 or Mistral Small 3 24B Base?

GPT-4.5 leads the LLM Stats Score 20.2 to -0.3. GPT-4.5 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-4.5 compare to Mistral Small 3 24B Base in benchmarks?

GPT-4.5 scores GSM8k: 97.0%, MMLU: 90.8%, CharXiv-D: 90.0%, IFEval: 88.2%, HumanEval: 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-4.5 and Mistral Small 3 24B Base?

GPT-4.5 supports 128K 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-4.5 and Mistral Small 3 24B Base?

Key differences include LLM Stats Score (20.2 vs -0.3), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4.5 and Mistral Small 3 24B Base?

GPT-4.5 is developed by OpenAI and Mistral Small 3 24B Base is developed by Mistral AI.