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Kimi-k1.5 vs QwQ-32B

Kimi-k1.5 and QwQ-32B are closely matched at 17.1 and 14.7 on the LLM Stats Score.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi-k1.5 and QwQ-32B are closely matched on the overall LLM Stats Score at 17.1 and 14.7.

In the 3 individual benchmarks reported for both models, Kimi-k1.5 wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi-k1.5

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose QwQ-32B

  • you want the most recent training data — it shipped Mar 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
17.1
#234
14.7
#248
16.4
#231
15.5
#239
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi-k1.5
QwQ-32B
20.2#166
18.1#192
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi-k1.5 · 7 for QwQ-32B

3 shared

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 Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

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

1.7 years ago

QwQ-32B

Mar 5, 2025

1.6 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

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Kimi-k1.5 and QwQ-32B side-by-side, then vote on the output you prefer.

Kimi-k1.5
✓ Preferred
QwQ-32B
Open in Playground

FAQ

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

Which is better, Kimi-k1.5 or QwQ-32B?

Kimi-k1.5 and QwQ-32B are closely matched on the LLM Stats Score at 17.1 and 14.7. 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi-k1.5 compare to QwQ-32B in benchmarks?

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%.

What are the main differences between Kimi-k1.5 and QwQ-32B?

Key differences include LLM Stats Score (17.1 vs 14.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi-k1.5 and QwQ-32B?

Kimi-k1.5 is developed by Moonshot AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.