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K2 Horizon 32B vs Kimi K3.1 Pro

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 30.2.

Institute of Foundation Models · Moonshot AI · Updated for 2026

Which is better?

Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 30.2, ranking #5 overall.

In the 2 individual benchmarks reported for both models, Kimi K3.1 Pro wins 2; 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 K2 Horizon 32B

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

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 2 of 2 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

K2 Horizon 32B
Institute of Foundation Models
Kimi K3.1 Pro
Moonshot AI
Core performance indexes
LLM Stats Score
30.2
#147
55.5
#5
Reasoning
30.0
#147
54.3
#6
Coding
12.9
#167
42.7
#9
Agents
14.2
#120
41.6
#5
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$2.00 / M
Output price
— / M
$10.00 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
K2 Horizon 32B
Kimi K3.1 Pro
Math
22.2#152
38.6#26
Tool use
11.5#135
30.4#14
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for K2 Horizon 32B · 30 for Kimi K3.1 Pro

2 shared

K2 Horizon 32B outperforms in 0 benchmarks, while Kimi K3.1 Pro is better at 2 benchmarks (GPQA, Humanity's Last Exam).

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

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).

Institute of Foundation Models
K2 Horizon 32B
Input- tokens
Output- tokens
Moonshot AI
Kimi K3.1 Pro
Input1,048,576 tokens
Output1,048,576 tokens
Fri Oct 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K3.1 Pro supports multimodal inputs, whereas K2 Horizon 32B does not.

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

K2 Horizon 32B

Text
Images
Audio
Video

Kimi K3.1 Pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

K2 Horizon 32B was released on 2026-09-03, while Kimi K3.1 Pro was released on 2026-10-23.

Kimi K3.1 Pro is 2 months newer than K2 Horizon 32B.

K2 Horizon 32B

Sep 3, 2026

1 months ago

Kimi K3.1 Pro

Oct 23, 2026

2 days ago

1mo newer

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 K2 Horizon 32B and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.

K2 Horizon 32B
✓ Preferred
Kimi K3.1 Pro
Open in Playground

FAQ

Common questions about K2 Horizon 32B vs Kimi K3.1 Pro.

Which is better, K2 Horizon 32B or Kimi K3.1 Pro?

Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 30.2. K2 Horizon 32B is made by Institute of Foundation Models and Kimi K3.1 Pro is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does K2 Horizon 32B compare to Kimi K3.1 Pro in benchmarks?

K2 Horizon 32B scores GPQA: 82.8%, OmniScience (non-hallucination rate): 69.7%, AA-LCR: 68.0%, Terminal-Bench 2.1: 62.6%, SciCode: 37.9%. Kimi K3.1 Pro scores BabyVision: 95.4%, GPQA: 94.2%, BenchCAD (with Python tool): 92.7%, BrowseComp: 92.1%, Chartography: 90.2%.

What are the context window sizes for K2 Horizon 32B and Kimi K3.1 Pro?

K2 Horizon 32B supports an unknown number of tokens and Kimi K3.1 Pro supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between K2 Horizon 32B and Kimi K3.1 Pro?

Key differences include LLM Stats Score (30.2 vs 55.5), multimodal support (no vs yes), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes K2 Horizon 32B and Kimi K3.1 Pro?

K2 Horizon 32B is developed by Institute of Foundation Models and Kimi K3.1 Pro is developed by Moonshot AI.

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