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GPT-4.1 nano vs Mistral Small
Comprehensive side-by-side LLM comparison
GPT-4.1 nano offers 1.0M more tokens in context window than Mistral Small. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 is a language model developed by Mistral AI. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
6 months newer
Mistral Small
Mistral AI
2024-09-17
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($0.30 cheaper)
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Mistral Small
Input:$0.20
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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GPT-4.1 nano
Average Score:34.2%(+34.2%)
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Mistral Small
Average Score:0.0%
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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
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GPT-4.1 nano
Avg Score:34.2%(+34.2%)
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1