INTELLIGENCE
20.1
Media Cap quality axis
Model portfolio
Tap a star to rate
Moonshot AI · Released 2025-07-11 · v2025-07-11 · Closed
Language Cap
61
Cadle Language Cap 61 · 99%
Benchmark average
No data yet
Not enough benchmark results yet
Pricing
$0.60
$2.50 / 1M out · 12.8 pts/$
CADLE CAP vs MODEL MATRIX
Cadle Cap ranks models on every published score we have for them — harder benchmarks weigh more. Missing tests are skipped, not zeroed. It answers who is stronger than whom in today's pool.
Model Matrix is the datasheet: Overall, Intelligence, Coding, Agentic, MMLU, GPQA, Math, LiveCodeBench, HumanEval, Reason, ARC-AGI. A dash means unmeasured. AVG is an importance-weighted mean of that model's filled cells only.
MODEL MATRIX · TRUTH CENTER CELLS
Overall
33.4
Intelligence
63.1
Coding
54.6
Agentic
No data yet
MMLU
No data yet
GPQA
No data yet
Math
97.3
LiveCodeBench
No data yet
HumanEval
No data yet
Reason
No data yet
ARC-AGI
No data yet
Coverage AVG
75.4
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.
Only measured signals
INTELLIGENCE
20.1
Media Cap quality axis
CODING
65.8
Media Cap quality axis
AGENTIC
61.1
Media Cap quality axis
MATH
97.3
Media Cap quality axis
MATRIX OVERALL
33.4
AVG 75.4 across matrix cells
STRONGEST SIGNAL
Intelligence
Cap axis 20.1
BLENDED $/1M
$3.10
In $0.60 · Out $2.50
VALUE INDEX
10.8
Quality ÷ blended $/1M (higher is better)
Measured matrix and verified gateway observations only.
PROVIDER
Moonshot AI
RELEASE
2025-07-11
STATUS
ACTIVE
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
2 notes indexed
Tap a star to rate
Stored locally · synced to your profile
Inference Operator
VerifiedOct 24, 2026
Tested Kimi K2 on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Autonomous Agent Lead
VerifiedOct 20, 2026
Evaluated Kimi K2 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 | Moonshot AI |
| Release | 2025-07-11 |
| Input / 1M | $0.60 |
| Output / 1M | $2.50 |
| Context | No data yet |
| Cadle Cap | 61 |
| Cap board | Cadle Language Cap 61 |
Scores may use different scales — check the Benchmarks tab for source links.
Evidence linked to this model — listing, hub, benchmarks, or live gateway prices.
API
Moonshot AI listing
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.