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Gemini 2.0 Flash vs Mistral Small
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash offers 991.2K more tokens in context window than Mistral Small. Both models have similar pricing. Gemini 2.0 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, it represents Google'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.
2 months newer
Mistral Small
Mistral AI
2024-09-17
Gemini 2.0 Flash
2024-12-01
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
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 13 common benchmarks
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Gemini 2.0 Flash
Average Score:66.7%(+66.7%)
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Mistral Small
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Mistral Small
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Gemini 2.0 Flash
Avg Score:66.7%(+66.7%)
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1