Intelligence
22.6
Media Cap quality axis
ActiveModel portfolio
K-Exaone
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LG AI Research · Released 2025-12-31 · v2025-12-31 · Closed
Cadle Score
—
Cadle Language ranked · 99%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
CADLE INSIGHTS
Only measured signals
Coding
40.8
Media Cap quality axis
Agentic
74.3
Media Cap quality axis
Math
90.3
Media Cap quality axis
Benchmark avg
24.2
1 tracked scores
Strongest signal
training-compute-flops
Score 24.2
Blended $/1M
Unlisted
No published list price
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Cap Intelligence
- 46.4
- Cap Coding
- 34.4
DESCRIPTION + DETAILS
PROVIDER
LG AI Research
RELEASE
2025-12-31
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for K-Exaone.
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 K-Exaone 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 K-Exaone 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 | LG AI Research |
| Release | 2025-12-31 |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 54 |
| Cap board | Cadle Language ranked |
| training-compute-flops | 24.2 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations