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o1-mini vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
o1-mini leads with 5.0% higher average benchmark score. Qwen3 235B A22B offers 62.5K more tokens in context window than o1-mini. Qwen3 235B A22B is $14.80 cheaper per million tokens. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
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Alibaba Cloud / Qwen Team
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
7 months newer
o1-mini
OpenAI
2024-09-12
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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Pricing Comparison
Cost per million tokens (USD)
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o1-mini
Input:$3.00
Output:$12.00
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($14.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1-mini
Average Score:72.6%(+5.0%)
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Qwen3 235B A22B
Average Score:67.6%
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:72.6%(+5.0%)
Providers:2
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Qwen3 235B A22B
Avg Score:67.6%
Providers:4