INTELLIGENCE
41.0
Media Cap quality axis
Meta · Open weightsMeta: Muse Glimmer 30B
Active
Model portfolio
Meta: Muse Glimmer 30B
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Meta · Released 2026-08-09 · v2026-08-09 · Open · Context 131K tokens
Language Cap
63
Cadle Language Cap 63 · 59%
Benchmark average
75.9
Not enough benchmark results yet
Pricing
$0.30
$1.20 / 1M out · 23.2 pts/$
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
41.0
Intelligence
No data yet
Coding
76.0
Agentic
75.5
MMLU
81.9
GPQA
83.5
Math
94.7
LiveCodeBench
44.9
HumanEval
No data yet
Reason
83.3
ARC-AGI
No data yet
Coverage AVG
75.9
Cadle Cap ranks models with within-benchmark percentiles so ARC-AGI ~40 and MMLU ~90 never compete raw. Coverage AVG is an importance-weighted mean of filled expert cells only — blanks are skipped, not zeroed.
ANALYSIS · TRUTH CENTER
Hard benches (GPQA · ARC-AGI · LCB · Agentic) sit left — a mid-40 on ARC-AGI can still be frontier. Broader benches on the right are easier and often higher.
CADLE INSIGHTS
Only measured signals
CODING
76.0
Media Cap quality axis
AGENTIC
75.5
Media Cap quality axis
MATH
94.7
Media Cap quality axis
MATRIX OVERALL
41.0
AVG 75.9 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 41.0
BLENDED $/1M
$1.50
In $0.30 · Out $1.20
VALUE INDEX
27.4
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 41.0
- Cap Intelligence
- 34.8
- Cap Coding
- 78.7
- Matrix Coding
- 76.0
- Input $/1M
- $0.30
- Output $/1M
- $1.20
- Value pts/$
- 23.19
DESCRIPTION + DETAILS
PROVIDER
Meta
RELEASE
2026-08-09
CONTEXT
131K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — not marketing copy.
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First review sets the tone for how teams evaluate Meta: Muse Glimmer 30B.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Meta |
| Release | 2026-08-09 |
| Input / 1M | $0.30 |
| Output / 1M | $1.20 |
| Context | 131K tokens |
| Cadle Cap | 63 |
| Cap board | Cadle Language Cap 63 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
SOURCE TRACKING
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
Meta listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall41
Coding76
Agentic75.5
MMLU81.9
GPQA83.5
Math94.7
LiveCodeBench44.9