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Gemini 1.0 Pro vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large leads with 19.5% higher average benchmark score. Pixtral Large offers 215.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $6.00 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, Pixtral Large 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
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
9 months newer
Gemini 1.0 Pro
2024-02-15
Pixtral Large
Mistral AI
2024-11-18
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($6.00 cheaper)
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Pixtral Large
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 1.0 Pro
Average Score:47.3%
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Pixtral Large
Average Score:66.7%(+19.5%)
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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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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Pixtral Large
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Gemini 1.0 Pro
Avg Score:47.3%
Providers:1
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Pixtral Large
Avg Score:66.7%(+19.5%)
Providers:1