Benchmark avg
48.0
4 tracked scores
Alibaba · Open weightsQwen3.8 27B
Active
Model portfolio
Qwen3.8 27B
Tap a star to rate
Alibaba · Released 2026-08-14 · v2026-08-14 · Open · Context 262K tokens
Language Cap
151
Cadle Language Cap 151 · 0%
Benchmark average
—
Not enough benchmark results yet
Pricing
$0.68
$3.76 / 1M out
MODEL MATRIX · TRUTH CENTER CELLS
Overall
—
Intelligence
—
Coding
—
Agentic
—
MMLU
—
GPQA
—
Math
—
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
—
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
Strongest signal
dtbench
Score 80.0
Blended $/1M
$4.45
In $0.68 · Out $3.76
Value index
10.8
Quality ÷ blended $/1M (higher is better)
Context
262K
Provider context window (not max output)
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Input $/1M
- $0.68
- Output $/1M
- $3.76
DESCRIPTION + DETAILS
PROVIDER
Alibaba
RELEASE
2026-08-14
CONTEXT
262K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for Qwen3.8 27B.
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 28, 2026
Tested Qwen3.8 27B 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 24, 2026
Evaluated Qwen3.8 27B 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 | 2026-08-14 |
| Input / 1M | $0.68 |
| Output / 1M | $3.76 |
| Context | 262K tokens |
| Cadle Cap | 151 |
| Cap board | Cadle Language Cap 151 |
| proofbench | 16.0 |
| apex-agents | 47.5 |
| lmca | 48.7 |
| dtbench | 80.0 |
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