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Devstral Small 1.1 vs Gemini 1.0 Pro
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 38.2% higher average benchmark score. Devstral Small 1.1 offers 215.0K more tokens in context window than Gemini 1.0 Pro. Devstral Small 1.1 is $1.60 cheaper per million tokens. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
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Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Devstral Small 1.1
Mistral AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30($1.60 cheaper)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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Devstral Small 1.1
Average Score:5.4%
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Gemini 1.0 Pro
Average Score:43.6%(+38.2%)
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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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Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Gemini 1.0 Pro
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Devstral Small 1.1
Avg Score:5.4%
Providers:1
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Gemini 1.0 Pro
Avg Score:43.6%(+38.2%)
Providers:1