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Pixtral-12B vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 15.2% higher average benchmark score. Qwen2.5 7B Instruct offers 3.1K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
2 days newer
Pixtral-12B
Mistral AI
2024-09-17
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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Pixtral-12B
Input:$0.15
Output:$0.15($0.30 cheaper)
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Pixtral-12B
Average Score:64.5%
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Qwen2.5 7B Instruct
Average Score:79.8%(+15.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Pixtral-12B
1 providers
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Qwen2.5 7B Instruct
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Pixtral-12B
Avg Score:64.5%
Providers:1
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Qwen2.5 7B Instruct
Avg Score:79.8%(+15.2%)
Providers:1