The AI arena is free today

Open Superagent

Inkling-Small vs Muse Glimmer-30B

Inkling-Small and Muse Glimmer-30B are closely matched at 39.3 and 35.5 on the LLM Stats Score.

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 39.3 and 35.5.

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.

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

Choose Inkling-Small

  • your work emphasizes coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 9 of 12 exact shared results

Choose Muse Glimmer-30B

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Inkling-Small
Thinking Machines Lab
Muse Glimmer-30B
Meta
Core performance indexes
LLM Stats Score
39.3
#53
35.5
#76
Reasoning
39.0
#52
34.7
#77
Coding
31.1
#45
23.8
#65
Agents
24.8
#45
18.5
#62
Cost, coverage & limits
Benchmark wins
9 of 12
3 of 12
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
256,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Inkling-Small
Muse Glimmer-30B
Math
34.2#46
28.3#84
Vision
19.6#64
20.4#61
Tool use
23.3#38
18.6#59
Multimodal
17.8#68
23.2#47
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

24 reported for Inkling-Small · 25 for Muse Glimmer-30B

12 shared

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.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

246.4B diff

Inkling-Small has 246.4B more parameters than Muse Glimmer-30B, making it 832.4% larger.

Thinking Machines Lab
Inkling-Small
276.0Bparameters
Meta
Muse Glimmer-30B
29.6Bparameters
276.0B
Inkling-Small
29.6B
Muse Glimmer-30B

Context Window

Maximum input and output token capacity

Only Inkling-Small specifies input context (256,000 tokens). Only Inkling-Small specifies output context (256,000 tokens).

Thinking Machines Lab
Inkling-Small
Input256,000 tokens
Output256,000 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 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

Text
Images
Audio
Video

Muse Glimmer-30B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Inkling-Small

Apache 2.0

Open weights

Muse Glimmer-30B

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.

Inkling-Small

Jul 30, 2026

4 weeks ago

Muse Glimmer-30B

Aug 10, 2026

2 weeks ago

1w newer

Knowledge 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.

Inkling-Small

—

Muse Glimmer-30B

Jan 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Inkling-Small
✓ Preferred
Muse Glimmer-30B
Open in Playground

FAQ

Common questions about Inkling-Small vs Muse Glimmer-30B.

Which is better, Inkling-Small or Muse Glimmer-30B?

Inkling-Small and Muse Glimmer-30B are closely matched on the LLM Stats Score at 39.3 and 35.5. Inkling-Small is made by Thinking Machines Lab 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 Inkling-Small compare to Muse Glimmer-30B in benchmarks?

Inkling-Small scores AIME 2026: 95.5%, VoiceBench Avg: 90.1%, GPQA: 89.5%, Global-MMLU-Lite: 86.7%, ARC-AGI: 84.0%. 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 Inkling-Small and Muse Glimmer-30B?

Inkling-Small supports 256K 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 Inkling-Small and Muse Glimmer-30B?

Key differences include LLM Stats Score (39.3 vs 35.5). See the full comparison above for benchmark-by-benchmark results.

Who makes Inkling-Small and Muse Glimmer-30B?

Inkling-Small is developed by Thinking Machines Lab and Muse Glimmer-30B is developed by Meta.

Related comparisons