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GPT-5 mini vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 22.2% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Qwen3 235B A22B. Qwen3 235B A22B is $2.05 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment 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.
3 months newer
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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Qwen3 235B A22B
Input:$0.10
Output:$0.10($2.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-5 mini
Average Score:86.7%(+22.2%)
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Qwen3 235B A22B
Average Score:64.5%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:86.7%(+22.2%)
Providers:2
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Qwen3 235B A22B
Avg Score:64.5%
Providers:4