INTELLIGENCE
47.4
Media Cap quality axis
Meta · Open weightsMeta: Muse Spark Open
Active
Model portfolio
Meta: Muse Spark Open
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Meta · Released 2026-10-15 · v2026-10-15 · Open · Context 1.0M tokens
Language Cap
74
Cadle Language Cap 74 · 86%
Benchmark average
78.5
Not enough benchmark results yet
Pricing
$1.25
$4.25 / 1M out · 15.3 pts/$
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
62.7
Intelligence
38.9
Coding
60.0
Agentic
82.8
MMLU
80.9
GPQA
89.0
Math
98.0
LiveCodeBench
58.4
HumanEval
No data yet
Reason
84.6
ARC-AGI
No data yet
Coverage AVG
78.5
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
60.0
Media Cap quality axis
AGENTIC
82.8
Media Cap quality axis
MATH
98.0
Media Cap quality axis
MATRIX OVERALL
62.7
AVG 78.5 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 47.4
BLENDED $/1M
$5.50
In $1.25 · Out $4.25
VALUE INDEX
11.4
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 62.7
- Cap Intelligence
- 84.4
- AA / Intel index
- 38.9
- Cap Coding
- 49.4
- Matrix Coding
- 60.0
- Input $/1M
- $1.25
- Output $/1M
- $4.25
- Value pts/$
- 15.35
DESCRIPTION + DETAILS
PROVIDER
Meta
RELEASE
2026-10-15
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 Spark Open.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Meta |
| Release | 2026-10-15 |
| Input / 1M | $1.25 |
| Output / 1M | $4.25 |
| Context | 1.0M tokens |
| Cadle Cap | 74 |
| Cap board | Cadle Language Cap 74 |
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.
Overall62.7
AA IQ38.9
Coding60
Agentic82.8
MMLU80.9
GPQA89
Math98
LiveCodeBench58.4