Matrix overall
45.5
AVG 28.2 across matrix cells
ActiveModel portfolio
Qwen2.5 14B
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Alibaba · Open · Context 131K tokens
Cadle Score
51
Cadle Language Cap 51 · 25%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
45.5
Intelligence
45.5
Coding
—
Reasoning
16.8
Language
41.0
Knowledge
47.2
Agentic
—
MMLU
47.2
GPQA
17.6
Math
29.0
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
28.2
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
32.0
6 tracked scores
Strongest signal
mmlu-pro
Score 47.2
Blended $/1M
Unlisted
No published list price
Context
131K
Provider context window (not max output)
Intel index
45.5
Matrix AA IQ cell
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cadle Score
- 51.2
- Overall (Matrix)
- 45.5
- Cadle Intelligence
- 45.5
DESCRIPTION + DETAILS
PROVIDER
Alibaba
CONTEXT
131K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for Qwen2.5 14B.
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
Oct 31, 2026
Tested Qwen2.5 14B 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 27, 2026
Evaluated Qwen2.5 14B 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 | 131K tokens |
| Cadle Cap | 51 |
| Cap board | Cadle Language Cap 51 |
| mmlu-pro | 47.2 |
| musr | 15.9 |
| gpqa-diamond | 17.6 |
| math-level-5 | 29.0 |
| bbh | 45.1 |
| ifeval | 36.9 |
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.
Overall45.5
AA IQ45.5
MMLU47.2
GPQA17.6
Math29