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Gemini 1.0 Pro vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Gemini 1.0 Pro leads with 15.2% higher average benchmark score. Overall, Gemini 1.0 Pro is the stronger choice for coding tasks.
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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
Magistral Small 2506 is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.2% across 4 benchmarks. Notable strengths include AIME 2024 (70.7%), GPQA (68.2%), AIME 2025 (62.8%). 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Magistral Small 2506
Mistral AI
2025-06-10
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Gemini 1.0 Pro
Average Score:36.3%(+15.2%)
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Magistral Small 2506
Average Score:21.1%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
Magistral Small 2506
2025-06-01
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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Magistral Small 2506
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Gemini 1.0 Pro
Avg Score:36.3%(+15.2%)
Providers:1
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Magistral Small 2506
Avg Score:21.1%
Providers:0