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GPT-4.1 mini vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 17.0% higher average benchmark score. GPT-4.1 mini offers 949.3K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Both models have similar pricing. GPT-4.1 mini supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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.
4 months newer
GPT-4.1 mini
OpenAI
2025-04-14
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-4.1 mini
Input:$0.40
Output:$1.60
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Qwen3-Next-80B-A3B-Thinking
Input:$0.15
Output:$1.50($0.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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GPT-4.1 mini
Average Score:58.0%
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Qwen3-Next-80B-A3B-Thinking
Average Score:75.1%(+17.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:58.0%
Providers:2
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Qwen3-Next-80B-A3B-Thinking
Avg Score:75.1%(+17.0%)
Providers:1