Model Comparison

Kimi-k1.5 vs QwQ-32B

Kimi-k1.5 shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Kimi-k1.5 outperforms in 2 benchmarks (IFEval, MATH-500), while QwQ-32B is better at 1 benchmark (AIME 2024).

Kimi-k1.5 shows notably better performance in the majority of benchmarks.

Fri May 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri May 01 2026 • llm-stats.com
Moonshot AI
Kimi-k1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas QwQ-32B does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi-k1.5

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi-k1.5 is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi-k1.5

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi-k1.5 was released on 2025-01-20, while QwQ-32B was released on 2025-03-05.

QwQ-32B is 1 month newer than Kimi-k1.5.

Kimi-k1.5

Jan 20, 2025

1.3 years ago

QwQ-32B

Mar 5, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Kimi-k1.5's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Kimi-k1.5's cutoff date.

Kimi-k1.5

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Moonshot AI
Supports multimodal inputs
Higher IFEval score (87.2% vs 83.9%)
Higher MATH-500 score (96.2% vs 90.6%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher AIME 2024 score (79.5% vs 77.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi-k1.5
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Kimi-k1.5 vs QwQ-32B

Kimi-k1.5 shows notably better performance in the majority of benchmarks. Kimi-k1.5 is made by Moonshot AI and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Kimi-k1.5 is developed by Moonshot AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.