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Kimi K3.1 Pro vs Qwen2.5 32B Instruct

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 6.9.

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 6.9, 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.

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 want the most recent training data — it shipped Oct 2026

Choose Qwen2.5 32B Instruct

  • 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
6.9
#324
54.3
#6
6.4
#320
42.7
#9
9.3
#201
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K3.1 Pro
Qwen2.5 32B Instruct
38.6#26
16.3#222
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

30 reported for Kimi K3.1 Pro · 18 for Qwen2.5 32B Instruct

1 shared

Kimi K3.1 Pro outperforms in 1 benchmarks (GPQA), while Qwen2.5 32B Instruct is better at 0 benchmarks.

Kimi K3.1 Pro significantly outperforms across most benchmarks.

Thu Oct 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Kimi K3.1 Pro specifies input context (1,048,576 tokens). Only Kimi K3.1 Pro specifies output context (1,048,576 tokens).

Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct
Input- tokens
Output- tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K3.1 Pro supports multimodal inputs, whereas Qwen2.5 32B Instruct 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

Qwen2.5 32B Instruct

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi K3.1 Pro was released on 2026-10-23, while Qwen2.5 32B Instruct was released on 2024-09-19.

Kimi K3.1 Pro is 25 months newer than Qwen2.5 32B Instruct.

Kimi K3.1 Pro

Oct 23, 2026

6 days ago

2.1yr newer
Qwen2.5 32B Instruct

Sep 19, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Kimi K3.1 Pro and Qwen2.5 32B Instruct side-by-side, then vote on the output you prefer.

Kimi K3.1 Pro
✓ Preferred
Qwen2.5 32B Instruct
Open in Playground

FAQ

Common questions about Kimi K3.1 Pro vs Qwen2.5 32B Instruct.

Which is better, Kimi K3.1 Pro or Qwen2.5 32B Instruct?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 6.9. Kimi K3.1 Pro is made by Moonshot AI and Qwen2.5 32B Instruct 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 Qwen2.5 32B Instruct 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%. Qwen2.5 32B Instruct scores GSM8k: 95.9%, HumanEval: 88.4%, HellaSwag: 85.2%, BBH: 84.5%, MBPP: 84.0%.

What are the context window sizes for Kimi K3.1 Pro and Qwen2.5 32B Instruct?

Kimi K3.1 Pro supports 1.0M tokens and Qwen2.5 32B Instruct supports an unknown number of 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 Qwen2.5 32B Instruct?

Key differences include LLM Stats Score (55.5 vs 6.9), 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 Qwen2.5 32B Instruct?

Kimi K3.1 Pro is developed by Moonshot AI and Qwen2.5 32B Instruct is developed by Alibaba Cloud / Qwen Team.