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DeepSeek-V3 vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 12.7% higher average benchmark score. DeepSeek-V3 offers 114.7K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Both models have similar pricing. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
6 months newer
DeepSeek-V3
DeepSeek
2024-12-25
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-V3
Input:$0.27
Output:$1.10
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80($0.42 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek-V3
Average Score:64.2%
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Qwen3-235B-A22B-Instruct-2507
Average Score:76.9%(+12.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Qwen3-235B-A22B-Instruct-2507
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DeepSeek-V3
Avg Score:64.2%
Providers:1
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Qwen3-235B-A22B-Instruct-2507
Avg Score:76.9%(+12.7%)
Providers:1