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GPT-5 nano vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 4.3% higher average benchmark score. GPT-5 nano offers 396.9K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. GPT-5 nano is $1.20 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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-Next 80B Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
1 month newer
GPT-5 nano
OpenAI
2025-08-07
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40($1.20 cheaper)
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Qwen3-Next-80B-A3B-Thinking
Input:$0.15
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 nano
Average Score:78.2%
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Qwen3-Next-80B-A3B-Thinking
Average Score:82.5%(+4.3%)
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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:78.2%
Providers:2
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Qwen3-Next-80B-A3B-Thinking
Avg Score:82.5%(+4.3%)
Providers:1