INTELLIGENCE
56.6
Media Cap quality axis
Meta · Open weightsMeta: Muse Spark 1.3
Active
Model portfolio
Meta: Muse Spark 1.3
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Meta · Released 2026-09-02 · v2026-09-02 · Open · Context 1.0M tokens
Language Cap
78
Cadle Language Cap 78 · 83%
Benchmark average
81.3
Not enough benchmark results yet
Pricing
$1.25
$4.25 / 1M out · 17.1 pts/$
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
72.0
Intelligence
48.1
Coding
75.8
Agentic
87.4
MMLU
67.8
GPQA
93.8
Math
88.8
LiveCodeBench
59.3
HumanEval
No data yet
Reason
98.5
ARC-AGI
No data yet
Coverage AVG
81.3
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
75.8
Media Cap quality axis
AGENTIC
87.4
Media Cap quality axis
MATH
88.8
Media Cap quality axis
MATRIX OVERALL
72.0
AVG 81.3 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 56.6
BLENDED $/1M
$5.50
In $1.25 · Out $4.25
VALUE INDEX
13.1
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix / AA / gateway rows only.
- Overall (Matrix)
- 72.0
- Cap Intelligence
- 94.1
- AA / Intel index
- 48.1
- Cap Coding
- 78.3
- Matrix Coding
- 75.8
- Input $/1M
- $1.25
- Output $/1M
- $4.25
- Value pts/$
- 17.11
DESCRIPTION + DETAILS
PROVIDER
Meta
RELEASE
2026-09-02
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 1.3.
MODEL COMPARISON
| Metric | |
|---|---|
| Provider | Meta |
| Release | 2026-09-02 |
| Input / 1M | $1.25 |
| Output / 1M | $4.25 |
| Context | 1.0M tokens |
| Cadle Cap | 78 |
| Cap board | Cadle Language Cap 78 |
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.
Overall72
AA IQ48.1
Coding75.8
Agentic87.4
MMLU67.8
GPQA93.8
Math88.8
LiveCodeBench59.3