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Mistral Small vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini offers 234.5K more tokens in context window than Mistral Small. Mistral Small is $4.70 cheaper per million tokens. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K 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. Released in 2025, it represents OpenAI's latest advancement in AI technology.
7 months newer
Mistral Small
Mistral AI
2024-09-17
o4-mini
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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Mistral Small
Input:$0.20
Output:$0.60($4.70 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Mistral Small
Average Score:0.0%
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o4-mini
Average Score:66.5%(+66.5%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
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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Mistral Small
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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o4-mini
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Mistral Small
Avg Score:0.0%
Providers:1
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o4-mini
Avg Score:66.5%(+66.5%)
Providers:1