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GPT-5 Codex vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3.1 24B Base leads with 40.0% higher average benchmark score. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, Mistral Small 3.1 24B Base is the stronger choice for coding tasks.
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OpenAI
GPT-5 Codex is a language model developed by OpenAI. It achieves strong performance with an average score of 74.5% across 1 benchmarks. Notable strengths include SWE-Bench Verified (74.5%). Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Mistral AI
Mistral Small 3.1 24B Base is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 62.9% across 5 benchmarks. It excels particularly in MMLU (81.0%), TriviaQA (80.5%), MMMU (59.3%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
6 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT-5 Codex
OpenAI
2025-09-15
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-5 Codex
Average Score:12.4%
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Mistral Small 3.1 24B Base
Average Score:52.4%(+40.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 Codex
2024-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Codex
0 providers
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Mistral Small 3.1 24B Base
1 providers
Mistral AI
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GPT-5 Codex
Avg Score:12.4%
Providers:0
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Mistral Small 3.1 24B Base
Avg Score:52.4%(+40.0%)
Providers:1