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.
CADLE INSIGHTS
Only measured signals
MMMU
68.7
Media Cap quality axis
MATHVISTA
34.5
Media Cap quality axis
CHARTQA
25.2
Media Cap quality axis
OCRBENCH
24.5
Media Cap quality axis
STRONGEST SIGNAL
MMMU
Cap axis 68.7
DESCRIPTION + DETAILS
PROVIDER
Community
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
Tap a star to rate
Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
Verified
Oct 23, 2026
Tested Slime-13B 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
Verified
Oct 19, 2026
Evaluated Slime-13B 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
Slime-13B
Provider
Community
Release
Input / 1M
No data yet
Output / 1M
No data yet
Context
No data yet
Cadle Cap
68
Cap board
Cadle Vision Cap 68
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
Slime-13B