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GPT-4.1 nano vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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GPT-4.1 nano
Average Score:34.2%(+34.2%)
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Qwen3-Next-80B-A3B-Base
Average Score:0.0%
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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-Base
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GPT-4.1 nano
Avg Score:34.2%(+34.2%)
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0