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Gemini 1.0 Pro vs Mistral Small
Comprehensive side-by-side LLM comparison
Mistral Small offers 24.6K more tokens in context window than Gemini 1.0 Pro. Mistral Small is $1.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. 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.
7 months newer
Gemini 1.0 Pro
2024-02-15
Mistral Small
Mistral AI
2024-09-17
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Mistral Small
Input:$0.20
Output:$0.60($1.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 1.0 Pro
Average Score:48.4%(+48.4%)
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Mistral Small
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Mistral Small
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Gemini 1.0 Pro
Avg Score:48.4%(+48.4%)
Providers:1
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Mistral Small
Avg Score:0.0%
Providers:1