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Kimi-k1.5 vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 30.2% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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.
6 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Performance Metrics
Context window and performance specifications
Average performance across 33 common benchmarks
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Kimi-k1.5
Average Score:22.3%
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Qwen3-235B-A22B-Thinking-2507
Average Score:52.4%(+30.2%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Qwen3-235B-A22B-Thinking-2507
1 providers
Novita
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Kimi-k1.5
Avg Score:22.3%
Providers:0
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Qwen3-235B-A22B-Thinking-2507
Avg Score:52.4%(+30.2%)
Providers:1