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GPT-6 Luna vs GPT OSS 120B High

GPT-6 Luna leads the LLM Stats Score 44.5 to 25.4. GPT-6 Luna and GPT OSS 120B High cost the same.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 25.4, ranking #41 overall.

GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and agents — it leads those capability indexes
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose GPT OSS 120B High

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
GPT OSS 120B High
OpenAI
Core performance indexes
LLM Stats Score
44.5
#41
25.4
#164
Reasoning
40.0
#58
25.6
#156
Agents
31.8
#30
3.0
#168
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.10 / M
Output price
$0.50 / M
$0.50 / M
Context window
1,050,000
131,072

Individual benchmarks

5 reported for GPT-6 Luna · 7 for GPT OSS 120B High

No common benchmarks found

GPT-6 Luna and GPT OSS 120B Highdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

For input processing, GPT-6 Luna ($0.10/1M tokens) costs the same as GPT OSS 120B High ($0.10/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) costs the same as GPT OSS 120B High ($0.50/1M tokens).

In conclusion, GPT-6 Luna and GPT OSS 120B High cost the same.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
OpenAI
GPT OSS 120B High
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-6 Luna accepts 1,050,000 input tokens compared to GPT OSS 120B High's 131,072 tokens. GPT OSS 120B High can generate longer responses up to 131,072 tokens, while GPT-6 Luna is limited to 128,000 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
OpenAI
GPT OSS 120B High
Input131,072 tokens
Output131,072 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas GPT OSS 120B High does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

GPT OSS 120B High

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while GPT OSS 120B High uses Apache 2.0.

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

GPT-6 Luna

Proprietary

Closed source

GPT OSS 120B High

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while GPT OSS 120B High was released on 2025-08-05.

GPT-6 Luna is 14 months newer than GPT OSS 120B High.

GPT-6 Luna

Sep 22, 2026

0 days ago

1.1yr newer
GPT OSS 120B High

Aug 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while GPT OSS 120B High's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without GPT OSS 120B High's cutoff date.

GPT-6 Luna

May 2026

GPT OSS 120B High

—

Provider Availability

GPT-6 Luna is available from OpenAI. GPT OSS 120B High is available from OpenAI, Fireworks.

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

GPT OSS 120B High

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Luna and GPT OSS 120B High side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
GPT OSS 120B High
Open in Playground

FAQ

Common questions about GPT-6 Luna vs GPT OSS 120B High.

Which is better, GPT-6 Luna or GPT OSS 120B High?

GPT-6 Luna leads the LLM Stats Score 44.5 to 25.4. GPT-6 Luna is made by OpenAI and GPT OSS 120B High is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to GPT OSS 120B High in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. GPT OSS 120B High scores AIME 2025: 92.5%, MMMLU: 83.8%, LiveCodeBench v6: 81.9%, GPQA: 80.9%, MMLU-Pro: 80.7%.

Is GPT-6 Luna cheaper than GPT OSS 120B High?

Both models cost $0.10 per million input tokens.

What are the context window sizes for GPT-6 Luna and GPT OSS 120B High?

GPT-6 Luna supports 1.1M tokens and GPT OSS 120B High supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Luna and GPT OSS 120B High?

Key differences include LLM Stats Score (44.5 vs 25.4), context window (1.1M vs 131K), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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