Model Comparison

Kimi K2 0905 vs QwQ-32B-Preview

Kimi K2 0905 significantly outperforms across most benchmarks. QwQ-32B-Preview is 6.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Kimi K2 0905 outperforms in 2 benchmarks (AIME 2024, GPQA), while QwQ-32B-Preview is better at 0 benchmarks.

Kimi K2 0905 significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, Kimi K2 0905 ($0.60/1M tokens) is 4.0x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Kimi K2 0905 ($2.50/1M tokens) is 12.5x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than QwQ-32B-Preview.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Tue May 12 2026 • llm-stats.com

Kimi K2 0905

Input tokens$0.60

Output tokens$2.50

Best providerNovita

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

Kimi K2 0905

1.0Tparameters

QwQ-32B-Preview

32.5Bparameters

1000.0B

Kimi K2 0905

32.5B

QwQ-32B-Preview

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Kimi K2 0905

Input262,144 tokens

Output262,144 tokens

QwQ-32B-Preview

Input32,768 tokens

Output32,768 tokens

Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Kimi K2 0905 is licensed under a proprietary license, 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 0905

Proprietary

Closed source

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2 0905 was released on 2025-09-05, while QwQ-32B-Preview was released on 2024-11-28.

Kimi K2 0905 is 9 months newer than QwQ-32B-Preview.

Kimi K2 0905

Sep 5, 2025

8 months ago

9mo newer

QwQ-32B-Preview

Nov 28, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

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

Kimi K2 0905

—

QwQ-32B-Preview

Nov 2024

Provider Availability

Kimi K2 0905 is available from Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Kimi K2 0905

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

QwQ-32B-Preview

Deepinfra

Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Hyperbolic

Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Together

Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Kimi K2 0905

View details

Moonshot AI

Larger context window (262,144 tokens)

Higher AIME 2024 score (72.0% vs 50.0%)

Higher GPQA score (75.8% vs 65.2%)

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	Kimi K2 0905	QwQ-32B-Preview

FAQ

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

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

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

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

Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is Kimi K2 0905 cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 4.0x cheaper for input tokens. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

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

Kimi K2 0905 supports 262K tokens and QwQ-32B-Preview supports 33K 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-Preview?

Key differences include context window (262K vs 33K), input pricing ($0.60 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2 0905 and QwQ-32B-Preview?

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