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GPT-4.1 nano vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 20.0% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
28 days newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT-4.1 nano
OpenAI
2025-04-14
Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 27 common benchmarks
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GPT-4.1 nano
Average Score:31.6%(+20.0%)
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Mistral Small 3.1 24B Base
Average Score:11.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Mistral Small 3.1 24B Base
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GPT-4.1 nano
Avg Score:31.6%(+20.0%)
Providers:1
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Mistral Small 3.1 24B Base
Avg Score:11.6%
Providers:1