Model Comparison

Kimi K2-Thinking-0905 vs QwQ-32B

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Kimi K2-Thinking-0905 outperforms in 1 benchmarks (GPQA), while QwQ-32B is better at 0 benchmarks.

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.

Tue Apr 21 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
Tue Apr 21 2026 • llm-stats.com
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Alibaba Cloud / Qwen Team
QwQ-32B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

967.5B diff

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

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

Context Window

Maximum input and output token capacity

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

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2-Thinking-0905 is licensed under MIT, 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-Thinking-0905

MIT

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

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

Kimi K2-Thinking-0905

Sep 5, 2025

7 months ago

6mo newer
QwQ-32B

Mar 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

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

Kimi K2-Thinking-0905

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Moonshot AI
Larger context window (262,144 tokens)
Higher GPQA score (84.5% vs 65.2%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

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

FAQ

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

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks. Kimi K2-Thinking-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.
Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.
Kimi K2-Thinking-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.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Kimi K2-Thinking-0905 is developed by Moonshot AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.