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DeepSeek-V2.5 vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 offers 131.1K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $0.53 cheaper per million tokens. DeepSeek-V2.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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 235B Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.53 cheaper)
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80
Performance Metrics
Context window and performance specifications
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:0.0%
Providers:3
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Qwen3-235B-A22B-Instruct-2507
Avg Score:0.0%
Providers:1