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Kimi K2.8 Preview vs QwQ-32B-Preview

Comparing Kimi K2.8 Preview and QwQ-32B-Preview across benchmarks, pricing, and capabilities.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi K2.8 Preview and QwQ-32B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Kimi K2.8 Preview also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Kimi K2.8 Preview

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose QwQ-32B-Preview

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.15 / M
Output price
— / M
$0.20 / M
Context window
1,048,576
32,768

Individual benchmarks

0 reported for Kimi K2.8 Preview · 4 for QwQ-32B-Preview

No common benchmarks found

Kimi K2.8 Preview and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Kimi K2.8 Preview accepts 1,048,576 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Only QwQ-32B-Preview specifies output context (32,768 tokens).

Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Thu Sep 17 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.8 Preview supports multimodal inputs, whereas QwQ-32B-Preview does not.

Kimi K2.8 Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.8 Preview

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.8 Preview 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 K2.8 Preview

Proprietary

Closed source

QwQ-32B-Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.8 Preview was released on 2026-09-11, while QwQ-32B-Preview was released on 2024-11-28.

Kimi K2.8 Preview is 22 months newer than QwQ-32B-Preview.

Kimi K2.8 Preview

Sep 11, 2026

6 days ago

1.8yr newer
QwQ-32B-Preview

Nov 28, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Kimi K2.8 Preview'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 K2.8 Preview's cutoff date.

Kimi K2.8 Preview

QwQ-32B-Preview

Nov 2024

Provider Availability

Kimi K2.8 Preview is available from Moonshot AI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Kimi K2.8 Preview

moonshot logo
Unknown Organization

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
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

Judge for yourself.

Run your own prompts against Kimi K2.8 Preview and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

Kimi K2.8 Preview
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about Kimi K2.8 Preview vs QwQ-32B-Preview.

Which is better, Kimi K2.8 Preview or QwQ-32B-Preview?

Kimi K2.8 Preview (Moonshot AI) and QwQ-32B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Kimi K2.8 Preview compare to QwQ-32B-Preview in benchmarks?

QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

What are the context window sizes for Kimi K2.8 Preview and QwQ-32B-Preview?

Kimi K2.8 Preview supports 1.0M 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 K2.8 Preview and QwQ-32B-Preview?

Key differences include context window (1.0M vs 33K), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.8 Preview and QwQ-32B-Preview?

Kimi K2.8 Preview is developed by Moonshot AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.