INTELLIGENCE
41.7
Media Cap quality axis
Meta · ProprietaryMuse Spark
Active
Model portfolio
Muse Spark
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Meta · Released 2026-04-08 · v2026-04-08 · Closed
Language Cap
71
Cadle Language Cap 71 · 91%
Benchmark average
77.4
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
60.4
Intelligence
31.3
Coding
68.0
Agentic
91.5
MMLU
87.3
GPQA
89.6
Math
88.9
LiveCodeBench
80.0
HumanEval
No data yet
Reason
84.6
ARC-AGI
42.5
Coverage AVG
77.4
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
68.0
Media Cap quality axis
AGENTIC
91.5
Media Cap quality axis
MATH
88.9
Media Cap quality axis
MATRIX OVERALL
60.4
AVG 77.4 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 41.7
CODING (MATRIX)
68.0
Model Matrix coding cell
AGENTIC
91.5
Tool-use / agentic matrix cell
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Overall (Matrix)
- 60.4
- Cap Intelligence
- 78.2
- Cadle Intelligence
- 31.3
- Cap Coding
- 60.1
- Matrix Coding
- 68.0
DESCRIPTION + DETAILS
PROVIDER
Meta
RELEASE
2026-04-08
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
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Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
VerifiedOct 23, 2026
Tested Muse Spark on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
A
Autonomous Agent Lead
VerifiedOct 19, 2026
Evaluated Muse Spark on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Meta |
| Release | 2026-04-08 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 71 |
| Cap board | Cadle Language Cap 71 |
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.
Overall60.4
AA IQ31.3
Coding68
Agentic91.5
MMLU87.3
GPQA89.6
Math88.9
LiveCodeBench80
ARC-AGI42.5