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GPT-4.1 nano vs Qwen3-Next-80B-A3B-Instruct
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Instruct leads with 27.1% higher average benchmark score. GPT-4.1 nano offers 949.3K more tokens in context window than Qwen3-Next-80B-A3B-Instruct. GPT-4.1 nano is $1.15 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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Alibaba Cloud / Qwen Team
Qwen3-Next 80B Instruct was developed as the instruction-tuned version of Qwen3-Next 80B, designed to combine large-scale mixture-of-experts architecture with reliable instruction-following. Built to demonstrate efficient deployment of capable models, it balances advanced performance with practical computational efficiency.
4 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-09-10
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40($1.15 cheaper)
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Qwen3-Next-80B-A3B-Instruct
Input:$0.15
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-4.1 nano
Average Score:38.1%
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Qwen3-Next-80B-A3B-Instruct
Average Score:65.2%(+27.1%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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Qwen3-Next-80B-A3B-Instruct
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GPT-4.1 nano
Avg Score:38.1%
Providers:1
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Qwen3-Next-80B-A3B-Instruct
Avg Score:65.2%(+27.1%)
Providers:1