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GLM-4.5 vs K2 Horizon 3.7B

GLM-4.5 and K2 Horizon 3.7B are closely matched at 27.1 and 21.4 on the LLM Stats Score.

Zhipu AI · Institute of Foundation Models · Updated for 2026

Which is better?

GLM-4.5 and K2 Horizon 3.7B are closely matched on the overall LLM Stats Score at 27.1 and 21.4.

In the 4 individual benchmarks reported for both models, GLM-4.5 wins 3; 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 GLM-4.5

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results

Choose K2 Horizon 3.7B

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

At a glance

The differences that matter most.

GLM-4.5
Zhipu AI
K2 Horizon 3.7B
Institute of Foundation Models
Core performance indexes
LLM Stats Score
27.1
#172
21.4
#215
Reasoning
26.6
#171
20.2
#217
Coding
15.9
#154
6.4
#220
Agents
9.3
#154
9.7
#152
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$0.40 / M
— / M
Output price
$1.60 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-4.5
K2 Horizon 3.7B
Math
26.5#111
13.3#245
Tool use
21.2#68
8.5#163
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5 · 8 for K2 Horizon 3.7B

4 shared

GLM-4.5 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SciCode), while K2 Horizon 3.7B is better at 1 benchmark (SWE-Bench Verified).

GLM-4.5 shows notably better performance in the majority of benchmarks.

Fri Oct 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

351.3B diff

GLM-4.5 has 351.3B more parameters than K2 Horizon 3.7B, making it 9494.6% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
Institute of Foundation Models
K2 Horizon 3.7B
3.7Bparameters
355.0B
GLM-4.5
3.7B
K2 Horizon 3.7B

Context Window

Maximum input and output token capacity

Only GLM-4.5 specifies input context (131,072 tokens). Only GLM-4.5 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Institute of Foundation Models
K2 Horizon 3.7B
Input- tokens
Output- tokens
Fri Oct 30 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 is licensed under MIT, while K2 Horizon 3.7B uses Apache 2.0.

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

GLM-4.5

MIT

Open weights

K2 Horizon 3.7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while K2 Horizon 3.7B was released on 2026-09-03.

K2 Horizon 3.7B is 13 months newer than GLM-4.5.

GLM-4.5

Jul 28, 2025

1.2 years ago

K2 Horizon 3.7B

Sep 3, 2026

1 months ago

1.1yr 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 GLM-4.5 and K2 Horizon 3.7B side-by-side, then vote on the output you prefer.

GLM-4.5
✓ Preferred
K2 Horizon 3.7B
Open in Playground

FAQ

Common questions about GLM-4.5 vs K2 Horizon 3.7B.

Which is better, GLM-4.5 or K2 Horizon 3.7B?

GLM-4.5 and K2 Horizon 3.7B are closely matched on the LLM Stats Score at 27.1 and 21.4. GLM-4.5 is made by Zhipu AI and K2 Horizon 3.7B is made by Institute of Foundation Models. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.5 compare to K2 Horizon 3.7B in benchmarks?

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. K2 Horizon 3.7B scores HMMT Feb 26: 75.2%, GPQA: 68.9%, SWE-Bench Verified: 65.6%, BFCL-V4: 64.6%, Terminal-Bench 2.1: 39.7%.

What are the context window sizes for GLM-4.5 and K2 Horizon 3.7B?

GLM-4.5 supports 131K tokens and K2 Horizon 3.7B 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 GLM-4.5 and K2 Horizon 3.7B?

Key differences include LLM Stats Score (27.1 vs 21.4), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5 and K2 Horizon 3.7B?

GLM-4.5 is developed by Zhipu AI and K2 Horizon 3.7B is developed by Institute of Foundation Models.

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