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GPT-4.1 vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 11.4% higher average benchmark score. GPT-4.1 offers 693.3K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Qwen3-235B-A22B-Thinking-2507 is $6.70 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
3 months newer
GPT-4.1
OpenAI
2025-04-14
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
Input:$2.00
Output:$8.00
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00($6.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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GPT-4.1
Average Score:56.2%
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Qwen3-235B-A22B-Thinking-2507
Average Score:67.7%(+11.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1
2024-06-01
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-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Qwen3-235B-A22B-Thinking-2507
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GPT-4.1
Avg Score:56.2%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:67.7%(+11.4%)
Providers:1