SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 74.7
- AA / Intel index
- 55.8
- Matrix Coding
- 79.0
Meta · ProprietaryMuse Wonder Full
Active
Model portfolio
Muse Wonder Full
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Meta · Released 2026-10-12 · v2026-10-12 · Closed
Language Cap
No data yet
language · unranked
Benchmark average
75.2
Not enough benchmark results yet
Pricing
Unlisted
no list price
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
74.7
Intelligence
55.8
Coding
79.0
Agentic
78.5
MMLU
78.3
GPQA
No data yet
Math
No data yet
LiveCodeBench
62.6
HumanEval
No data yet
Reason
83.7
ARC-AGI
No data yet
Coverage AVG
75.2
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.
NOT RANKED YET
We only rank a model once it has enough published benchmark results to compare fairly. Everything below is what we do know: pricing, news and any scores that have been published.
DESCRIPTION + DETAILS
PROVIDER
Meta
RELEASE
2026-10-12
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 Muse Wonder Full.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Meta |
| Release | 2026-10-12 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 80 |
| Cap board | Unranked |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall74.7
AA IQ55.8
Coding79
Agentic78.5
MMLU78.3
LiveCodeBench62.6