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DeepSeek R1 Distill Qwen 32B vs DeepSeek-V2.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 40.5% higher average benchmark score. DeepSeek R1 Distill Qwen 32B offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. 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 R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
8 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18($0.12 cheaper)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:15.6%
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DeepSeek-V2.5
Average Score:56.1%(+40.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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DeepSeek-V2.5
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DeepSeek R1 Distill Qwen 32B
Avg Score:15.6%
Providers:1
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DeepSeek-V2.5
Avg Score:56.1%(+40.5%)
Providers:3