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o4-mini vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
o4-mini leads with 12.6% higher average benchmark score. o4-mini offers 152.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $4.55 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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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 235B Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
3 months newer
o4-mini
OpenAI
2025-04-16
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
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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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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80($4.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o4-mini
Average Score:81.0%(+12.6%)
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Qwen3-235B-A22B-Instruct-2507
Average Score:68.4%
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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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Qwen3-235B-A22B-Instruct-2507
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o4-mini
Avg Score:81.0%(+12.6%)
Providers:1
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Qwen3-235B-A22B-Instruct-2507
Avg Score:68.4%
Providers:1