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o3-mini vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
o3-mini leads with 12.1% higher average benchmark score. o3-mini offers 44.0K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $5.30 cheaper per million tokens. Qwen3 235B A22B is available on 4 providers. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
2 months newer
o3-mini
OpenAI
2025-01-30
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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o3-mini
Input:$1.10
Output:$4.40
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($5.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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o3-mini
Average Score:87.7%(+12.1%)
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Qwen3 235B A22B
Average Score:75.6%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:87.7%(+12.1%)
Providers:2
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Qwen3 235B A22B
Avg Score:75.6%
Providers:4