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o4-mini vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
o4-mini leads with 2.9% higher average benchmark score. o4-mini offers 168.9K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Qwen3-Next-80B-A3B-Thinking is $3.85 cheaper per million tokens. o4-mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
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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
o4-mini
OpenAI
2025-04-16
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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o4-mini
Input:$1.10
Output:$4.40
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Qwen3-Next-80B-A3B-Thinking
Input:$0.15
Output:$1.50($3.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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o4-mini
Average Score:73.8%(+2.9%)
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Qwen3-Next-80B-A3B-Thinking
Average Score:70.9%
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Knowledge Cutoff
Training data recency comparison
o4-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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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Qwen3-Next-80B-A3B-Thinking
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o4-mini
Avg Score:73.8%(+2.9%)
Providers:1
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Qwen3-Next-80B-A3B-Thinking
Avg Score:70.9%
Providers:1