GPT-6 Astra vs Muse Glimmer-30B
GPT-6 Astra leads the LLM Stats Score 59.6 to 35.0. Muse Glimmer-30B is 38.1x cheaper per token.
OpenAI · Meta · Updated for 2026
Which is better?
GPT-6 Astra leads the overall LLM Stats Score 59.6 to 35.0, ranking #1 overall.
In the 2 individual benchmarks reported for both models, GPT-6 Astra wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Glimmer-30B is roughly 38.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Astra 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 Astra
- overall performance matters — it scores 59.6 and ranks #1 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- 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
- cost matters — it's about 38.1x cheaper per token
- 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
22 reported for GPT-6 Astra · 25 for Muse Glimmer-30B
GPT-6 Astra outperforms in 2 benchmarks (GPQA, ScreenSpot Pro), while Muse Glimmer-30B is better at 0 benchmarks.
GPT-6 Astra significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Astra ($10.00/1M tokens) is 33.3x more expensive than Muse Glimmer-30B ($0.30/1M tokens).
For output processing, GPT-6 Astra ($50.00/1M tokens) is 41.7x more expensive than Muse Glimmer-30B ($1.20/1M tokens).
In conclusion, GPT-6 Astra is more expensive than Muse Glimmer-30B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Astra 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 Astra is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-6 Astra and Muse Glimmer-30B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-6 Astra
Muse Glimmer-30B
License
Usage and distribution terms
GPT-6 Astra 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 Astra was released on 2026-09-04, while Muse Glimmer-30B was released on 2026-08-10.
GPT-6 Astra is 1 month newer than Muse Glimmer-30B.
Sep 4, 2026
2 weeks ago
3w newerAug 10, 2026
1 months ago
Knowledge Cutoff
When training data ends
GPT-6 Astra has a knowledge cutoff of 2026-04-30, while Muse Glimmer-30B has a cutoff of 2026-01-04.
GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to Muse Glimmer-30B (2026-01-04).
Apr 2026
3 mo newerJan 2026
Provider Availability
GPT-6 Astra is available from OpenAI. Muse Glimmer-30B is available from DeepInfra.
GPT-6 Astra
Muse Glimmer-30B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Astra and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Astra vs Muse Glimmer-30B.