Matrix overall
28.8
AVG 40.3 across matrix cells
ActiveModel portfolio
qwen1.5-72b-chat
Tap a star to rate
Alibaba · Open
Cadle Score
45
Cadle Language Cap 45 · 25%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
28.8
Intelligence
28.8
Coding
40.3
Reasoning
—
Language
—
Knowledge
—
Agentic
—
MMLU
—
GPQA
—
Math
—
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
40.3
Pillar Coverage:2 / 7 Core Pillars (29%)
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.
CADLE INSIGHTS
Only measured signals
Benchmark avg
40.3
1 tracked scores
Strongest signal
bigcodebench
Score 40.3
Blended $/1M
Unlisted
No published list price
Coding (matrix)
40.3
Model Matrix coding cell
Intel index
28.8
Matrix AA IQ cell
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cadle Score
- 44.5
- Overall (Matrix)
- 28.8
- Cadle Intelligence
- 28.8
- Matrix Coding
- 40.3
DESCRIPTION + DETAILS
PROVIDER
Alibaba
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for qwen1.5-72b-chat.
4.5(2)
Leave a Field Observation
Rating:5 - Frontier benchmark
Role:
Tag topic:
Reviews are publicly visible to the engineering community.
Inference OperatorProduction Deployer Verified
Nov 1, 2026
Tested qwen1.5-72b-chat on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Autonomous Agent LeadEval Maintainer Verified
Oct 28, 2026
Evaluated qwen1.5-72b-chat 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 | Alibaba |
| Release | |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 45 |
| Cap board | Cadle Language Cap 45 |
| bigcodebench | 40.3 |
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.
Overall28.8
AA IQ28.8
Coding40.3