Inkling-Small vs Muse Glimmer-30B
Inkling-Small and Muse Glimmer-30B are closely matched at 38.6 and 35.0 on the LLM Stats Score. Inkling-Small and Muse Glimmer-30B cost the same.
Thinking Machines Lab · Meta · Updated for 2026
Which is better?
Inkling-Small and Muse Glimmer-30B are closely matched on the overall LLM Stats Score at 38.6 and 35.0.
In the 12 individual benchmarks reported for both models, Inkling-Small wins 9; this is a narrower head-to-head signal than the composite indexes.
Inkling-Small also accepts a larger context window (256,000 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 Inkling-Small
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 9 of 12 exact shared results
- you process long inputs — it offers a 256,000 token context window
Choose Muse Glimmer-30B
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
24 reported for Inkling-Small · 25 for Muse Glimmer-30B
Inkling-Small outperforms in 9 benchmarks (AIME 2026, GPQA, Humanity's Last Exam, IFBench, MCP Atlas, SciCode, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.1), while Muse Glimmer-30B is better at 2 benchmarks (CharXiv-R, Tau3 Banking).
Inkling-Small shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Inkling-Small ($0.30/1M tokens) costs the same as Muse Glimmer-30B ($0.30/1M tokens).
For output processing, Inkling-Small ($1.20/1M tokens) costs the same as Muse Glimmer-30B ($1.20/1M tokens).
In conclusion, Inkling-Small and Muse Glimmer-30B cost the same.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Inkling-Small has 246.4B more parameters than Muse Glimmer-30B, making it 832.4% larger.
Context Window
Maximum input and output token capacity
Inkling-Small accepts 256,000 input tokens compared to Muse Glimmer-30B's 131,072 tokens. Inkling-Small can generate longer responses up to 256,000 tokens, while Muse Glimmer-30B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Inkling-Small and Muse Glimmer-30B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Inkling-Small
Muse Glimmer-30B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Inkling-Small was released on 2026-07-30, while Muse Glimmer-30B was released on 2026-08-10.
Muse Glimmer-30B is 0 month newer than Inkling-Small.
Jul 30, 2026
1 months ago
Aug 10, 2026
1 months ago
1w newerKnowledge Cutoff
When training data ends
Muse Glimmer-30B has a documented knowledge cutoff of 2026-01-04, while Inkling-Small's cutoff date is not specified.
We can confirm Muse Glimmer-30B's training data extends to 2026-01-04, but cannot make a direct comparison without Inkling-Small's cutoff date.
—
Jan 2026
Provider Availability
Inkling-Small is available from Thinking Machines Lab, DeepInfra. Muse Glimmer-30B is available from DeepInfra.
Inkling-Small
Muse Glimmer-30B
Outputs Comparison
Judge for yourself.
Run your own prompts against Inkling-Small and Muse Glimmer-30B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Inkling-Small vs Muse Glimmer-30B.