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Gemini 2.5 Flash vs Mistral Small
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash offers 1.0M more tokens in context window than Mistral Small. Mistral Small is $2.00 cheaper per million tokens. Gemini 2.5 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
8 months newer
Mistral Small
Mistral AI
2024-09-17
Gemini 2.5 Flash
2025-05-20
Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash
Input:$0.30
Output:$2.50
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Mistral Small
Input:$0.20
Output:$0.60($2.00 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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Gemini 2.5 Flash
Average Score:62.5%(+62.5%)
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Mistral Small
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.5 Flash
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Flash
Avg Score:62.5%(+62.5%)
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1