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GPT-4 vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 41.5% higher average benchmark score. Qwen3-Next-80B-A3B-Thinking offers 65.5K more tokens in context window than GPT-4. Qwen3-Next-80B-A3B-Thinking is $88.35 cheaper per million tokens. GPT-4 supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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.
2 years newer
GPT-4
OpenAI
2023-06-13
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
Input:$30.00
Output:$60.00
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Qwen3-Next-80B-A3B-Thinking
Input:$0.15
Output:$1.50($88.35 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4
Average Score:35.7%
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Qwen3-Next-80B-A3B-Thinking
Average Score:77.2%(+41.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:35.7%
Providers:2
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Qwen3-Next-80B-A3B-Thinking
Avg Score:77.2%(+41.5%)
Providers:1