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K2 Horizon 0.9B vs Kimi K2 Base

Kimi K2 Base leads the LLM Stats Score 12.7 to 0.5.

Institute of Foundation Models · Moonshot AI · Updated for 2026

Which is better?

Kimi K2 Base leads the overall LLM Stats Score 12.7 to 0.5, ranking #280 overall.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose K2 Horizon 0.9B

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

Choose Kimi K2 Base

  • overall performance matters — it scores 12.7 and ranks #280 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

K2 Horizon 0.9B
Institute of Foundation Models
Kimi K2 Base
Moonshot AI
Core performance indexes
LLM Stats Score
0.5
#358
12.7
#280
Reasoning
0.6
#350
11.9
#280
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
K2 Horizon 0.9B
Kimi K2 Base
Math
3.3#308
14.3#236
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for K2 Horizon 0.9B · 13 for Kimi K2 Base

2 shared

K2 Horizon 0.9B outperforms in 1 benchmarks (LiveCodeBench v6), while Kimi K2 Base is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

999.1B diff

Kimi K2 Base has 999.1B more parameters than K2 Horizon 0.9B, making it 111011.1% larger.

Institute of Foundation Models
K2 Horizon 0.9B
900,000,000parameters
Moonshot AI
Kimi K2 Base
1.0Tparameters
0.9B
K2 Horizon 0.9B
1000.0B
Kimi K2 Base

License

Usage and distribution terms

K2 Horizon 0.9B is licensed under Apache 2.0, while Kimi K2 Base uses MIT.

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

K2 Horizon 0.9B

Apache 2.0

Open weights

Kimi K2 Base

MIT

Open weights

Release Timeline

When each model was launched

K2 Horizon 0.9B was released on 2026-09-03, while Kimi K2 Base was released on 2025-07-11.

K2 Horizon 0.9B is 14 months newer than Kimi K2 Base.

K2 Horizon 0.9B

Sep 3, 2026

1 months ago

1.1yr newer
Kimi K2 Base

Jul 11, 2025

1.3 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 0.9B and Kimi K2 Base side-by-side, then vote on the output you prefer.

K2 Horizon 0.9B
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about K2 Horizon 0.9B vs Kimi K2 Base.

Which is better, K2 Horizon 0.9B or Kimi K2 Base?

Kimi K2 Base leads the LLM Stats Score 12.7 to 0.5. K2 Horizon 0.9B is made by Institute of Foundation Models and Kimi K2 Base 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 0.9B compare to Kimi K2 Base in benchmarks?

K2 Horizon 0.9B scores HumanEval+: 79.9%, MBPP+: 68.0%, AIME 2026: 48.5%, AIME 2025: 41.7%, LiveCodeBench v6: 37.4%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the main differences between K2 Horizon 0.9B and Kimi K2 Base?

Key differences include LLM Stats Score (0.5 vs 12.7), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes K2 Horizon 0.9B and Kimi K2 Base?

K2 Horizon 0.9B is developed by Institute of Foundation Models and Kimi K2 Base is developed by Moonshot AI.

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