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Gemini 2.5 Pro vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 37.7% higher average benchmark score. Gemini 2.5 Pro offers 1.1M more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $11.04 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. 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 24B Instruct was created as the instruction-tuned version of the 24B base model, designed to follow user instructions reliably. Built to serve general-purpose applications requiring moderate capability, it balances performance with deployment practicality.
3 months newer
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
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 24B Instruct
Input:$0.07
Output:$0.14($11.04 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Pro
Average Score:83.0%(+37.7%)
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Mistral Small 3 24B Instruct
Average Score:45.3%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
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:83.0%(+37.7%)
Providers:2
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Mistral Small 3 24B Instruct
Avg Score:45.3%
Providers:2