Model Comparison

Kimi K2 Base vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

QwQ-32B-Preview significantly outperforms across most benchmarks.

Thu Apr 16 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
Thu Apr 16 2026 • llm-stats.com
Moonshot AI
Kimi K2 Base
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

967.5B diff

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

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

Context Window

Maximum input and output token capacity

Only QwQ-32B-Preview specifies input context (32,768 tokens). Only QwQ-32B-Preview specifies output context (32,768 tokens).

Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 Base is licensed under MIT, while QwQ-32B-Preview uses Apache 2.0.

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

Kimi K2 Base

MIT

Open weights

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 Base was released on 2025-07-11, while QwQ-32B-Preview was released on 2024-11-28.

Kimi K2 Base is 8 months newer than QwQ-32B-Preview.

Kimi K2 Base

Jul 11, 2025

9 months ago

7mo newer
QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Kimi K2 Base's cutoff date is not specified.

We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Kimi K2 Base's cutoff date.

Kimi K2 Base

—

QwQ-32B-Preview

Nov 2024

Outputs Comparison

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Key Takeaways

Moonshot AI
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)
Higher GPQA score (65.2% vs 48.1%)

Detailed Comparison

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

FAQ

Common questions about Kimi K2 Base vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. Kimi K2 Base is made by Moonshot AI and QwQ-32B-Preview 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 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
Kimi K2 Base supports an unknown number of tokens and QwQ-32B-Preview supports 33K 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 Base is developed by Moonshot AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.