Matrix overall
25.3
AVG 18.1 across matrix cells
ActiveModel portfolio
Qwen 2 (7B)
Tap a star to rate
Alibaba · Open · Context 33K tokens
Cadle Score
43
Cadle Language Cap 43 · 25%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
25.3
Intelligence
25.3
Coding
—
Reasoning
10.8
Language
33.1
Knowledge
35.4
Agentic
—
MMLU
35.4
GPQA
7.3
Math
20.4
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
18.1
Pillar Coverage:5 / 7 Core Pillars (71%)
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
Benchmark avg
23.9
6 tracked scores
Strongest signal
mmlu-pro
Score 35.4
Blended $/1M
Unlisted
No published list price
Context
33K
Provider context window (not max output)
Intel index
25.3
Matrix AA IQ cell
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cadle Score
- 43.1
- Overall (Matrix)
- 25.3
- Cadle Intelligence
- 25.3
DESCRIPTION + DETAILS
PROVIDER
Alibaba
CONTEXT
33K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for Qwen 2 (7B).
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 Qwen 2 (7B) 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 Qwen 2 (7B) 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 | 33K tokens |
| Cadle Cap | 43 |
| Cap board | Cadle Language Cap 43 |
| mmlu-pro | 35.4 |
| musr | 14.3 |
| gpqa-diamond | 7.3 |
| math-level-5 | 20.4 |
| bbh | 34.7 |
| ifeval | 31.5 |
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
Alibaba listing
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall25.3
AA IQ25.3
MMLU35.4
GPQA7.3
Math20.4