INTELLIGENCE
59.2
Media Cap quality axis
Meta · Open weightsMeta: Muse Wonder
Active
Model portfolio
Meta: Muse Wonder
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Meta · Released 2026-10-12 · v2026-10-12 · Open · Context 1.0M tokens
Language Cap
73
Cadle Language Cap 73 · 84%
Benchmark average
74.8
Not enough benchmark results yet
Pricing
$4.00
$20.00 / 1M out · 3.9 pts/$
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
71.4
Intelligence
52.4
Coding
78.8
Agentic
61.3
MMLU
74.3
GPQA
No data yet
Math
99.4
LiveCodeBench
60.3
HumanEval
No data yet
Reason
80.7
ARC-AGI
No data yet
Coverage AVG
74.8
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
78.8
Media Cap quality axis
AGENTIC
61.3
Media Cap quality axis
MATH
99.4
Media Cap quality axis
MATRIX OVERALL
71.4
AVG 74.8 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 59.2
BLENDED $/1M
$24.00
In $4.00 · Out $20.00
VALUE INDEX
3.0
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 71.4
- Cap Intelligence
- 94.7
- AA / Intel index
- 52.4
- Cap Coding
- 90.7
- Matrix Coding
- 78.8
- Input $/1M
- $4.00
- Output $/1M
- $20.00
- Value pts/$
- 3.95
DESCRIPTION + DETAILS
PROVIDER
Meta
RELEASE
2026-10-12
CONTEXT
1.0M 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 Wonder.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Meta |
| Release | 2026-10-12 |
| Input / 1M | $4.00 |
| Output / 1M | $20.00 |
| Context | 1.0M tokens |
| Cadle Cap | 73 |
| Cap board | Cadle Language Cap 73 |
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.
Overall71.4
AA IQ52.4
Coding78.8
Agentic61.3
MMLU74.3
Math99.4
LiveCodeBench60.3