Microsoft · Open weightsmicrosoft/phi-4-reasoning-plus
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Model portfolio
microsoft/phi-4-reasoning-plus
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Microsoft · Open · Context 32K tokens
ACTIVETextReasoning
Language Cap
44
Cadle Language Cap 44 · 52%
Benchmark average
62.3
Not enough benchmark results yet
Pricing
$0.070
$0.35 / 1M out · 120.2 pts/$
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
50.0
Intelligence
No data yet
Coding
24.2
Agentic
No data yet
MMLU
76.0
GPQA
68.9
Math
81.3
LiveCodeBench
53.1
HumanEval
No data yet
Reason
84.9
ARC-AGI
No data yet
Coverage AVG
62.3
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.