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Kimi K3.1 Pro vs QwQ-32B-Preview

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 8.4. QwQ-32B-Preview is 24.6x cheaper per token.

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

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 8.4, ranking #5 overall.

In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, QwQ-32B-Preview is roughly 24.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3.1 Pro 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 K3.1 Pro

  • overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose QwQ-32B-Preview

  • cost matters — it's about 24.6x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
55.5
#5
8.4
#308
54.3
#6
8.7
#300
42.7
#9
4.3
#238
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
$0.15 / M
Output price
$10.00 / M
$0.20 / M
Context window
1,048,576
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K3.1 Pro
QwQ-32B-Preview
38.6#26
8.8#276
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

30 reported for Kimi K3.1 Pro · 4 for QwQ-32B-Preview

1 shared

Kimi K3.1 Pro outperforms in 1 benchmarks (GPQA), while QwQ-32B-Preview is better at 0 benchmarks.

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

For input processing, Kimi K3.1 Pro ($2.00/1M tokens) is 13.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).

For output processing, Kimi K3.1 Pro ($10.00/1M tokens) is 50.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).

In conclusion, Kimi K3.1 Pro is more expensive than QwQ-32B-Preview.*

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

Lowest available price from all providers
Fri Oct 30 2026 • llm-stats.com
Moonshot AI
Kimi K3.1 Pro
Input tokens$2.00
Output tokens$10.00
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?

Context Window

Maximum input and output token capacity

Kimi K3.1 Pro accepts 1,048,576 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.

Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K3.1 Pro supports multimodal inputs, whereas QwQ-32B-Preview does not.

Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K3.1 Pro

Text
Images
Audio
Video

QwQ-32B-Preview

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi K3.1 Pro was released on 2026-10-23, while QwQ-32B-Preview was released on 2024-11-28.

Kimi K3.1 Pro is 23 months newer than QwQ-32B-Preview.

Kimi K3.1 Pro

Oct 23, 2026

2 days ago

1.9yr newer
QwQ-32B-Preview

Nov 28, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Kimi K3.1 Pro'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 K3.1 Pro's cutoff date.

Kimi K3.1 Pro

—

QwQ-32B-Preview

Nov 2024

Provider Availability

Kimi K3.1 Pro is available from Moonshot AI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

Kimi K3.1 Pro

moonshot logo
Unknown Organization
Input Price:Input: $2.00/1MOutput Price:Output: $10.00/1M

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?

Judge for yourself.

Run your own prompts against Kimi K3.1 Pro and QwQ-32B-Preview side-by-side, then vote on the output you prefer.

Kimi K3.1 Pro
✓ Preferred
QwQ-32B-Preview
Open in Playground

FAQ

Common questions about Kimi K3.1 Pro vs QwQ-32B-Preview.

Which is better, Kimi K3.1 Pro or QwQ-32B-Preview?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 8.4. Kimi K3.1 Pro 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Kimi K3.1 Pro compare to QwQ-32B-Preview in benchmarks?

Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.

Is Kimi K3.1 Pro cheaper than QwQ-32B-Preview?

QwQ-32B-Preview is 13.3x cheaper for input tokens. Kimi K3.1 Pro costs $2.00/M input and $10.00/M output via moonshot. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.

What are the context window sizes for Kimi K3.1 Pro and QwQ-32B-Preview?

Kimi K3.1 Pro 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 K3.1 Pro and QwQ-32B-Preview?

Key differences include LLM Stats Score (55.5 vs 8.4), context window (1.0M vs 33K), input pricing ($2.00 vs $0.15/M), multimodal support (yes vs no), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K3.1 Pro and QwQ-32B-Preview?

Kimi K3.1 Pro is developed by Moonshot AI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.