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GPT-5.6 Luna vs Muse Glimmer-30B

GPT-5.6 Luna leads the LLM Stats Score 46.5 to 35.5.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-5.6 Luna leads the overall LLM Stats Score 46.5 to 35.5, ranking #21 overall.

In the 4 individual benchmarks reported for both models, GPT-5.6 Luna wins 4; 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-5.6 Luna

  • overall performance matters — it scores 46.5 and ranks #21 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results

Choose Muse Glimmer-30B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-5.6 Luna
OpenAI
Muse Glimmer-30B
Meta
Core performance indexes
LLM Stats Score
46.5
#21
35.5
#76
Reasoning
45.6
#25
34.7
#77
Coding
39.9
#13
23.8
#65
Agents
33.7
#18
18.5
#62
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.20 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-5.6 Luna
Muse Glimmer-30B
Math
29.1#81
28.3#84
Vision
25.3#42
20.4#61
Tool use
27.6#19
18.6#59
Multimodal
25.7#37
23.2#47
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

44 reported for GPT-5.6 Luna · 25 for Muse Glimmer-30B

4 shared

GPT-5.6 Luna outperforms in 4 benchmarks (GPQA, MMMU-Pro, SWE-Bench Pro, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Meta
Muse Glimmer-30B
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.6 Luna and Muse Glimmer-30B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.6 Luna

Text
Images
Audio
Video

Muse Glimmer-30B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Luna is licensed under a proprietary license, while Muse Glimmer-30B uses Apache 2.0.

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

GPT-5.6 Luna

Proprietary

Closed source

Muse Glimmer-30B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Muse Glimmer-30B was released on 2026-08-10.

Muse Glimmer-30B is 1 month newer than GPT-5.6 Luna.

GPT-5.6 Luna

Jul 9, 2026

1 months ago

Muse Glimmer-30B

Aug 10, 2026

2 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a knowledge cutoff of 2026-02-16, while Muse Glimmer-30B has a cutoff of 2026-01-04.

GPT-5.6 Luna has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Muse Glimmer-30B (2026-01-04).

GPT-5.6 Luna

Feb 2026

1 mo newer
Muse Glimmer-30B

Jan 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Muse Glimmer-30B side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Muse Glimmer-30B
Open in Playground

FAQ

Common questions about GPT-5.6 Luna vs Muse Glimmer-30B.

Which is better, GPT-5.6 Luna or Muse Glimmer-30B?

GPT-5.6 Luna leads the LLM Stats Score 46.5 to 35.5. GPT-5.6 Luna is made by OpenAI and Muse Glimmer-30B is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-5.6 Luna compare to Muse Glimmer-30B in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. Muse Glimmer-30B scores AIME 2026: 94.7%, Siren AgentDojo Utility: 94.2%, GPQA: 83.5%, AA-LCR: 80.0%, CharXiv-R: 78.8%.

What are the context window sizes for GPT-5.6 Luna and Muse Glimmer-30B?

GPT-5.6 Luna supports 1.1M tokens and Muse Glimmer-30B 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-5.6 Luna and Muse Glimmer-30B?

Key differences include LLM Stats Score (46.5 vs 35.5), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Muse Glimmer-30B?

GPT-5.6 Luna is developed by OpenAI and Muse Glimmer-30B is developed by Meta.

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