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GPT OSS 120B High vs Kimi K2-Instruct-0905

GPT OSS 120B High leads the LLM Stats Score 25.4 to 21.5.

OpenAI · Moonshot AI · Updated for 2026

Which is better?

GPT OSS 120B High leads the overall LLM Stats Score 25.4 to 21.5, ranking #173 overall.

In the 3 individual benchmarks reported for both models, GPT OSS 120B High 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 GPT OSS 120B High

  • overall performance matters — it scores 25.4 and ranks #173 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

Choose Kimi K2-Instruct-0905

  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

GPT OSS 120B High
OpenAI
Kimi K2-Instruct-0905
Moonshot AI
Core performance indexes
LLM Stats Score
25.4
#173
21.5
#202
Reasoning
25.6
#165
21.8
#192
Agents
2.9
#177
-4.2
#197
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
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
Kimi K2-Instruct-0905
Math
24.1#125
21.5#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GPT OSS 120B High · 29 for Kimi K2-Instruct-0905

3 shared

GPT OSS 120B High outperforms in 2 benchmarks (AIME 2025, GPQA), while Kimi K2-Instruct-0905 is better at 1 benchmark (MMLU-Pro).

GPT OSS 120B High shows notably better performance in the majority of benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

883.2B diff

Kimi K2-Instruct-0905 has 883.2B more parameters than GPT OSS 120B High, making it 756.2% larger.

OpenAI
GPT OSS 120B High
116.8Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
116.8B
GPT OSS 120B High
1000.0B
Kimi K2-Instruct-0905

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
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

License

Usage and distribution terms

GPT OSS 120B High is licensed under Apache 2.0, while Kimi K2-Instruct-0905 uses MIT.

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

GPT OSS 120B High

Apache 2.0

Open weights

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

GPT OSS 120B High was released on 2025-08-05, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 1 month newer than GPT OSS 120B High.

GPT OSS 120B High

Aug 5, 2025

1.2 years ago

Kimi K2-Instruct-0905

Sep 5, 2025

1.1 years 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 GPT OSS 120B High and Kimi K2-Instruct-0905 side-by-side, then vote on the output you prefer.

GPT OSS 120B High
✓ Preferred
Kimi K2-Instruct-0905
Open in Playground

FAQ

Common questions about GPT OSS 120B High vs Kimi K2-Instruct-0905.

Which is better, GPT OSS 120B High or Kimi K2-Instruct-0905?

GPT OSS 120B High leads the LLM Stats Score 25.4 to 21.5. GPT OSS 120B High is made by OpenAI and Kimi K2-Instruct-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 GPT OSS 120B High compare to Kimi K2-Instruct-0905 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%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for GPT OSS 120B High and Kimi K2-Instruct-0905?

GPT OSS 120B High supports 131K tokens and Kimi K2-Instruct-0905 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 Kimi K2-Instruct-0905?

Key differences include LLM Stats Score (25.4 vs 21.5), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT OSS 120B High and Kimi K2-Instruct-0905?

GPT OSS 120B High is developed by OpenAI and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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