GPT-6 Luna vs Muse Glimmer-30B
GPT-6 Luna leads the LLM Stats Score 44.5 to 34.9. GPT-6 Luna is 2.6x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 44.5 to 34.9, ranking #40 overall.
On price, GPT-6 Luna is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 #40 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 2.6x cheaper per token
- 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 Muse Glimmer-30B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for GPT-6 Luna · 25 for Muse Glimmer-30B
GPT-6 Luna and Muse Glimmer-30Bdon'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) is 3.0x cheaper than Muse Glimmer-30B ($0.30/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 2.4x cheaper than Muse Glimmer-30B ($1.20/1M tokens).
In conclusion, Muse Glimmer-30B is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Muse Glimmer-30B's 131,072 tokens. Muse Glimmer-30B can generate longer responses up to 131,072 tokens, while GPT-6 Luna is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Luna and Muse Glimmer-30B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Luna
Muse Glimmer-30B
License
Usage and distribution terms
GPT-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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while Muse Glimmer-30B was released on 2026-08-10.
GPT-6 Luna is 1 month newer than Muse Glimmer-30B.
Sep 22, 2026
0 days ago
1mo newerAug 10, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a knowledge cutoff of 2026-05-18, while Muse Glimmer-30B has a cutoff of 2026-01-04.
GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Muse Glimmer-30B (2026-01-04).
May 2026
4 mo newerJan 2026
Provider Availability
GPT-6 Luna is available from OpenAI. Muse Glimmer-30B is available from DeepInfra.
GPT-6 Luna
Muse Glimmer-30B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs Muse Glimmer-30B.