Matrix overall
79.4
AVG 79.4 across matrix cells
ActiveModel portfolio
kimi-k2-thinking-turbo
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Moonshot AI · Closed
Cadle Score
—
Unranked · 45%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
79.4
Intelligence
—
Coding
—
Reasoning
76.7
Language
—
Knowledge
—
Agentic
—
MMLU
—
GPQA
76.7
Math
83.0
LiveCodeBench
—
HumanEval
—
Reason
—
ARC-AGI
—
Coverage AVG
79.4
Pillar Coverage:2 / 7 Core Pillars (29%)
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
78.8
3 tracked scores
Strongest signal
otis-mock-aime-2024-2025
Score 83.0
Blended $/1M
Unlisted
No published list price
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
- Overall (Matrix)
- 79.4
DESCRIPTION + DETAILS
PROVIDER
Moonshot AI
STATUS
ACTIVE
COMMUNITY REVIEWS
Community Reviews & Field Notes
Verified EngineersReal operator evaluations, prompt robustness observations, and deployment notes for kimi-k2-thinking-turbo.
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 kimi-k2-thinking-turbo 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 kimi-k2-thinking-turbo 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 | Moonshot AI |
| Release | |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 79 |
| Cap board | Unranked |
| gpqa-diamond | 71.0 |
| otis-mock-aime-2024-2025 | 83.0 |
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.
- Supabase models
- Cadle public observations
MEASURED CELLS
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.
Overall79.4
GPQA76.7
Math83