The AI arena is free today

Open Superagent

GPT OSS 120B High vs K2 Horizon MoVA 36B-A4B

GPT OSS 120B High and K2 Horizon MoVA 36B-A4B are closely matched at 24.8 and 29.8 on the LLM Stats Score.

OpenAI · Institute of Foundation Models · Updated for 2026

Which is better?

GPT OSS 120B High and K2 Horizon MoVA 36B-A4B are closely matched on the overall LLM Stats Score at 24.8 and 29.8.

In the 1 individual benchmarks reported for both models, GPT OSS 120B High 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 GPT OSS 120B High

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose K2 Horizon MoVA 36B-A4B

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

At a glance

The differences that matter most.

Core performance indexes
24.8
#192
29.8
#149
25.1
#184
29.7
#148
2.3
#198
14.5
#116
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
131,072
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT OSS 120B High
K2 Horizon MoVA 36B-A4B
24.1#132
21.8#156
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 120B High · 9 for K2 Horizon MoVA 36B-A4B

1 shared

GPT OSS 120B High outperforms in 1 benchmarks (GPQA), while K2 Horizon MoVA 36B-A4B is better at 0 benchmarks.

GPT OSS 120B High 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

80.8B diff

GPT OSS 120B High has 80.8B more parameters than K2 Horizon MoVA 36B-A4B, making it 224.4% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
Institute of Foundation Models
K2 Horizon MoVA 36B-A4B
36.0Bparameters
116.8B
GPT OSS 120B High
36.0B
K2 Horizon MoVA 36B-A4B

Context Window

Maximum input and output token capacity

Only GPT OSS 120B High specifies input context (131,072 tokens). Only GPT OSS 120B High specifies output context (131,072 tokens).

OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Institute of Foundation Models
K2 Horizon MoVA 36B-A4B
Input- tokens
Output- tokens
Fri Oct 30 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

GPT OSS 120B High

Apache 2.0

Open weights

K2 Horizon MoVA 36B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT OSS 120B High was released on 2025-08-05, while K2 Horizon MoVA 36B-A4B was released on 2026-09-03.

K2 Horizon MoVA 36B-A4B is 13 months newer than GPT OSS 120B High.

GPT OSS 120B High

Aug 5, 2025

1.2 years ago

K2 Horizon MoVA 36B-A4B

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 GPT OSS 120B High and K2 Horizon MoVA 36B-A4B side-by-side, then vote on the output you prefer.

GPT OSS 120B High
✓ Preferred
K2 Horizon MoVA 36B-A4B
Open in Playground

FAQ

Common questions about GPT OSS 120B High vs K2 Horizon MoVA 36B-A4B.

Which is better, GPT OSS 120B High or K2 Horizon MoVA 36B-A4B?

GPT OSS 120B High and K2 Horizon MoVA 36B-A4B are closely matched on the LLM Stats Score at 24.8 and 29.8. GPT OSS 120B High is made by OpenAI and K2 Horizon MoVA 36B-A4B 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 GPT OSS 120B High compare to K2 Horizon MoVA 36B-A4B in benchmarks?

GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%. K2 Horizon MoVA 36B-A4B scores GPQA: 80.8%, OmniScience (non-hallucination rate): 69.2%, AA-LCR: 66.3%, Terminal-Bench 2.1: 58.6%, SciCode: 38.9%.

What are the context window sizes for GPT OSS 120B High and K2 Horizon MoVA 36B-A4B?

GPT OSS 120B High supports 131K tokens and K2 Horizon MoVA 36B-A4B 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 GPT OSS 120B High and K2 Horizon MoVA 36B-A4B?

Key differences include LLM Stats Score (24.8 vs 29.8). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B High and K2 Horizon MoVA 36B-A4B?

GPT OSS 120B High is developed by OpenAI and K2 Horizon MoVA 36B-A4B is developed by Institute of Foundation Models.