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DeepSeek-V2.5 vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Qwen3 30B A3B leads with 14.8% higher average benchmark score. Qwen3 30B A3B offers 239.6K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Overall, Qwen3 30B A3B 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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Alibaba Cloud / Qwen Team
Qwen3 30B was created with a mixture-of-experts architecture featuring 30 billion total parameters and 3 billion active parameters. Built to provide strong capabilities with efficient inference through sparse activation, it balances performance with practical computational requirements.
11 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 30B A3B
Input:$0.10
Output:$0.30($0.02 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-V2.5
Average Score:76.2%
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Qwen3 30B A3B
Average Score:91.0%(+14.8%)
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:76.2%
Providers:3
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Qwen3 30B A3B
Avg Score:91.0%(+14.8%)
Providers:3