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K2 Horizon 7B vs Kimi K2-Thinking-0905

Kimi K2-Thinking-0905 leads the LLM Stats Score 35.4 to 25.7.

Institute of Foundation Models · Moonshot AI · Updated for 2026

Which is better?

Kimi K2-Thinking-0905 leads the overall LLM Stats Score 35.4 to 25.7, ranking #108 overall.

In the 4 individual benchmarks reported for both models, Kimi K2-Thinking-0905 wins 4; 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 7B

  • you want the most recent training data — it shipped Sep 2026

Choose Kimi K2-Thinking-0905

  • overall performance matters — it scores 35.4 and ranks #108 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

At a glance

The differences that matter most.

K2 Horizon 7B
Institute of Foundation Models
Kimi K2-Thinking-0905
Moonshot AI
Core performance indexes
LLM Stats Score
25.7
#184
35.4
#108
Reasoning
25.6
#181
35.6
#102
Coding
8.4
#209
20.5
#119
Agents
12.0
#133
15.3
#113
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
— / M
$0.47 / M
Output price
— / M
$2.00 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
K2 Horizon 7B
Kimi K2-Thinking-0905
Math
14.4#235
37.7#33
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for K2 Horizon 7B · 21 for Kimi K2-Thinking-0905

4 shared

K2 Horizon 7B outperforms in 0 benchmarks, while Kimi K2-Thinking-0905 is better at 4 benchmarks (BrowseComp, Humanity's Last Exam, SciCode, SWE-Bench Verified).

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

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

993.0B diff

Kimi K2-Thinking-0905 has 993.0B more parameters than K2 Horizon 7B, making it 14185.7% larger.

Institute of Foundation Models
K2 Horizon 7B
7.0Bparameters
Moonshot AI
Kimi K2-Thinking-0905
1.0Tparameters
7.0B
K2 Horizon 7B
1000.0B
Kimi K2-Thinking-0905

Context Window

Maximum input and output token capacity

Only Kimi K2-Thinking-0905 specifies input context (262,144 tokens). Only Kimi K2-Thinking-0905 specifies output context (262,144 tokens).

Institute of Foundation Models
K2 Horizon 7B
Input- tokens
Output- tokens
Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Fri Oct 30 2026 • llm-stats.com

License

Usage and distribution terms

K2 Horizon 7B is licensed under Apache 2.0, while Kimi K2-Thinking-0905 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

K2 Horizon 7B

Apache 2.0

Open weights

Kimi K2-Thinking-0905

MIT

Open weights

Release Timeline

When each model was launched

K2 Horizon 7B was released on 2026-09-03, while Kimi K2-Thinking-0905 was released on 2025-09-05.

K2 Horizon 7B is 12 months newer than Kimi K2-Thinking-0905.

K2 Horizon 7B

Sep 3, 2026

1 months ago

12mo newer
Kimi K2-Thinking-0905

Sep 5, 2025

1.1 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 K2 Horizon 7B and Kimi K2-Thinking-0905 side-by-side, then vote on the output you prefer.

K2 Horizon 7B
✓ Preferred
Kimi K2-Thinking-0905
Open in Playground

FAQ

Common questions about K2 Horizon 7B vs Kimi K2-Thinking-0905.

Which is better, K2 Horizon 7B or Kimi K2-Thinking-0905?

Kimi K2-Thinking-0905 leads the LLM Stats Score 35.4 to 25.7. K2 Horizon 7B is made by Institute of Foundation Models and Kimi K2-Thinking-0905 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 7B compare to Kimi K2-Thinking-0905 in benchmarks?

K2 Horizon 7B scores HMMT Feb 26: 73.3%, SWE-Bench Verified: 70.6%, AA-LCR: 68.0%, BrowseComp: 59.0%, Terminal-Bench 2.1: 39.1%. Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%.

What are the context window sizes for K2 Horizon 7B and Kimi K2-Thinking-0905?

K2 Horizon 7B supports an unknown number of tokens and Kimi K2-Thinking-0905 supports 262K 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 7B and Kimi K2-Thinking-0905?

Key differences include LLM Stats Score (25.7 vs 35.4), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes K2 Horizon 7B and Kimi K2-Thinking-0905?

K2 Horizon 7B is developed by Institute of Foundation Models and Kimi K2-Thinking-0905 is developed by Moonshot AI.

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