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GPT-5 nano vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 8.8% higher average benchmark score. GPT-5 nano offers 140.9K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. GPT-5 nano is $2.85 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
13 days newer
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40($2.85 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-5 nano
Average Score:55.0%
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Qwen3-235B-A22B-Thinking-2507
Average Score:63.9%(+8.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:55.0%
Providers:2
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Qwen3-235B-A22B-Thinking-2507
Avg Score:63.9%(+8.8%)
Providers:1