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Claude Sonnet 4.5 vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 35.0% higher average benchmark score. Claude Sonnet 4.5 offers 116.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $17.05 cheaper per million tokens. Claude Sonnet 4.5 supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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Anthropic
Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 75.8% across 9 benchmarks. It excels particularly in MMMLU (89.1%), AIME 2025 (87.0%), TAU-bench Retail (86.2%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Claude Sonnet 4.5
Anthropic
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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Claude Sonnet 4.5
Input:$3.00
Output:$15.00
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80($17.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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Claude Sonnet 4.5
Average Score:21.3%
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Qwen3-235B-A22B-Instruct-2507
Average Score:56.3%(+35.0%)
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Knowledge Cutoff
Training data recency comparison
Claude Sonnet 4.5
2025-01-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Claude Sonnet 4.5
2 providers
Anthropic
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude Sonnet 4.5
Avg Score:21.3%
Providers:2
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Qwen3-235B-A22B-Instruct-2507
Avg Score:56.3%(+35.0%)
Providers:1