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DeepSeek-V2.5 vs Pixtral-12B
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 17.0% higher average benchmark score. Pixtral-12B offers 119.8K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Pixtral-12B supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation 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.
4 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Pixtral-12B
Mistral AI
2024-09-17
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Pixtral-12B
Input:$0.15
Output:$0.15($0.12 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V2.5
Average Score:83.6%(+17.0%)
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Pixtral-12B
Average Score:66.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:83.6%(+17.0%)
Providers:3
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Pixtral-12B
Avg Score:66.5%
Providers:1