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Gemini 1.0 Pro vs Mistral Small 3 24B Base
Comprehensive side-by-side LLM comparison
Mistral Small 3 24B Base leads with 9.6% higher average benchmark score. Mistral Small 3 24B Base supports multimodal inputs. Overall, Mistral Small 3 24B Base is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Mistral AI
Mistral Small 24B Base was developed as a 24-billion-parameter foundation model, designed to serve as a base for fine-tuning and customization. Built to provide a strong starting point for domain-specific applications, it represents an intermediate-scale option in Mistral's model lineup.
11 months newer
Gemini 1.0 Pro
2024-02-15
Mistral Small 3 24B Base
Mistral AI
2025-01-30
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Gemini 1.0 Pro
Average Score:44.1%
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Mistral Small 3 24B Base
Average Score:53.7%(+9.6%)
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Base
2023-10-01
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 3 24B Base
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Gemini 1.0 Pro
Avg Score:44.1%
Providers:1
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Mistral Small 3 24B Base
Avg Score:53.7%(+9.6%)
Providers:0