Benchmark avg
35.4
15 tracked scores
Model portfolio
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Microsoft · Open
Language Cap
59
Cadle Language Cap 59 · 39%
Benchmark average
—
Not enough benchmark results yet
Pricing
Unlisted
no list price
MODEL MATRIX · TRUTH CENTER CELLS
Overall
—
Intelligence
60.7
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.
Only measured signals
Benchmark avg
35.4
15 tracked scores
Strongest signal
epoch-eci
Score 107.7
Blended $/1M
Unlisted
No published list price
Intel index
60.7
Matrix AA IQ cell
Measured matrix and verified gateway observations only.
PROVIDER
Microsoft
STATUS
ACTIVE
Real operator evaluations, prompt robustness observations, and deployment notes for Phi-2.
Tested Phi-2 on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
Evaluated Phi-2 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 | Microsoft |
| Release | |
| Input / 1M | No data yet |
| Output / 1M | No data yet |
| Context | No data yet |
| Cadle Cap | 59 |
| Cap board | Cadle Language Cap 59 |
| mmlu-pro | 18.1 |
| musr | 13.8 |
| gpqa-diamond | 2.9 |
| math-level-5 | 2.9 |
| bbh | 28.0 |
| ifeval | 27.4 |
| winogrande | 9.4 |
| openbookqa | 64.8 |
| mmlu | 44.5 |
| anli | 13.8 |
| hellaswag | 38.1 |
| triviaqa | 45.2 |
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
Microsoft listing
Same Truth Center numbers as the datasheet above. Accuracy, reliability, safety, and cost scores are not invented.