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Gemini 2.5 Pro vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 32.9% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Mistral Small 3.1 24B Base. Mistral Small 3.1 24B Base is $10.85 cheaper per million tokens. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
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Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
2 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
Gemini 2.5 Pro
2025-05-20
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Pro
Input:$1.25
Output:$10.00
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($10.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.5 Pro
Average Score:81.3%(+32.9%)
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Mistral Small 3.1 24B Base
Average Score:48.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Pro
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 Pro
2 providers
Throughput: 85 tok/s
Latency: 0.7ms
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Gemini 2.5 Pro
Avg Score:81.3%(+32.9%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:48.4%
Providers:1