Model Comparison

Kimi-k1.5 vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Verdict: Kimi-k1.5 vs Qwen3 VL 32B Thinking — which is better?

Kimi-k1.5 (by Moonshot AI) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Kimi-k1.5 outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (IFEval, MMLU). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Choose Kimi-k1.5 if…

  • you are already invested in the Moonshot AI ecosystem

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi-k1.5 outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (IFEval, MMLU).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

Both Kimi-k1.5 and Qwen3 VL 32B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi-k1.5

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi-k1.5 is licensed under a proprietary license, while Qwen3 VL 32B Thinking 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

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi-k1.5 was released on 2025-01-20, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 8 months newer than Kimi-k1.5.

Kimi-k1.5

Jan 20, 2025

1.4 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

9 months ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher IFEval score (87.8% vs 87.2%)
Higher MMLU score (88.7% vs 87.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi-k1.5
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Kimi-k1.5 vs Qwen3 VL 32B Thinking.

Which is better, Kimi-k1.5 or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Kimi-k1.5 is made by Moonshot AI and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Kimi-k1.5 compare to Qwen3 VL 32B Thinking in benchmarks?

Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the main differences between Kimi-k1.5 and Qwen3 VL 32B Thinking?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi-k1.5 and Qwen3 VL 32B Thinking?

Kimi-k1.5 is developed by Moonshot AI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.