Allen Institute for AI · Open weightsOlmo 3 32B Think
Active
Model portfolio
Olmo 3 32B Think
Tap a star to rate
Allen Institute for AI · Released 2025-11-20 · v2025-11-20 · Open
ACTIVETextCodeReasoning
Language Cap
34
Cadle Language Cap 34 · 59%
Benchmark average
53.8
Not enough benchmark results yet
Pricing
Unlisted
no list price
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
No data yet
Intelligence
6.5
Coding
No data yet
Agentic
1.5
MMLU
75.9
GPQA
61.0
Math
73.7
LiveCodeBench
67.2
HumanEval
No data yet
Reason
49.1
ARC-AGI
No data yet
Coverage AVG
53.8
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.