Model Comparison

Kimi K2 0905 vs QwQ-32BWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Kimi K2 0905 vs QwQ-32B — which is better?

Kimi K2 0905 (by Moonshot AI) and QwQ-32B (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 K2 0905 outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 1 benchmark (AIME 2024). Both models are evenly matched across the benchmarks.

Choose Kimi K2 0905 if…

  • you want the most recent training data — it shipped Sep 2025

Choose QwQ-32B if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi K2 0905 outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Tue Jun 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

967.5B diff

Kimi K2 0905 has 967.5B more parameters than QwQ-32B, making it 2976.9% larger.

Moonshot AI
Kimi K2 0905
1.0Tparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
1000.0B
Kimi K2 0905
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Kimi K2 0905 specifies input context (262,144 tokens). Only Kimi K2 0905 specifies output context (262,144 tokens).

Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Tue Jun 09 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 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 K2 0905

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while QwQ-32B was released on 2025-03-05.

Kimi K2 0905 is 6 months newer than QwQ-32B.

Kimi K2 0905

Sep 5, 2025

9 months ago

6mo newer
QwQ-32B

Mar 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Kimi K2 0905'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 K2 0905's cutoff date.

Kimi K2 0905

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (262,144 tokens)
Higher GPQA score (75.8% vs 65.2%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher AIME 2024 score (79.5% vs 72.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Moonshot AI
Kimi K2 0905
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Kimi K2 0905 vs QwQ-32B.

Which is better, Kimi K2 0905 or QwQ-32B?

Both models are evenly matched across the benchmarks. Kimi K2 0905 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.

How does Kimi K2 0905 compare to QwQ-32B in benchmarks?

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Kimi K2 0905 and QwQ-32B?

Kimi K2 0905 supports 262K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2 0905 and QwQ-32B?

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

Who makes Kimi K2 0905 and QwQ-32B?

Kimi K2 0905 is developed by Moonshot AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.

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