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Gemini 1.0 Pro vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 7.2% higher average benchmark score. Pixtral-12B offers 95.2K more tokens in context window than Gemini 1.0 Pro. Pixtral-12B is $1.70 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Overall, Pixtral-12B 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 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
7 months newer
Gemini 1.0 Pro
2024-02-15
Pixtral-12B
Mistral AI
2024-09-17
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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
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Pixtral-12B
Input:$0.15
Output:$0.15($1.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Gemini 1.0 Pro
Average Score:49.7%
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Pixtral-12B
Average Score:57.0%(+7.2%)
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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-12B
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Gemini 1.0 Pro
Avg Score:49.7%
Providers:1
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Pixtral-12B
Avg Score:57.0%(+7.2%)
Providers:1