Matrix overall
89.2
AVG 86.7 across matrix cells
ActiveModel portfolio
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Alibaba · Open · Context 128K tokens
Cadle Score
146.2
#5 in index
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
89.2
Intelligence
89.2
Coding
—
Reasoning
—
Language
—
Knowledge
—
Agentic
—
MMLU
—
GPQA
—
Math
86.7
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
86.7
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.
Only measured signals
Matrix overall
89.2
AVG 86.7 across matrix cells
Benchmark avg
146.2
1 tracked scores
Strongest signal
epoch-eci
Score 146.2
Context
128K
Provider context window (not max output)
Intel index
89.2
Matrix AA IQ cell
Measured matrix and verified gateway observations only.
PROVIDER
Alibaba
CONTEXT
128K tokens
STATUS
ACTIVE
Real operator evaluations, prompt robustness observations, and deployment notes for Qwen 3.5 Plus (hosted 397B-A17B).
Tested Qwen 3.5 Plus (hosted 397B-A17B) on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Evaluated Qwen 3.5 Plus (hosted 397B-A17B) on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
| Metric | |
|---|---|
| Provider | Alibaba |
| Release | |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | 128K tokens |
| Cadle Cap | 146 |
| Cap board | Cadle Language Cap 146 |
| epoch-eci | 146.2 |
Scores may use different scales — check the Benchmarks tab for source links.
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Source: Epoch AI (CC BY 4.0) · as of 2026-11-03 · All credits