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DeepSeek-V2.5 vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 21.4% higher average benchmark score. Qwen3 235B A22B offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Overall, Qwen3 235B A22B is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen3 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). It supports a 256K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($0.22 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek-V2.5
Average Score:33.3%
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Qwen3 235B A22B
Average Score:54.8%(+21.4%)
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:33.3%
Providers:3
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Qwen3 235B A22B
Avg Score:54.8%(+21.4%)
Providers:4