NVIDIA · Open weightsnvidia/NVIDIA-Nemotron-Nano-12B-v2-VL
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nvidia/NVIDIA-Nemotron-Nano-12B-v2-VL
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NVIDIA · Released 2025-10-28 · v2025-10-28 · Open · Context 131K tokens
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Language Cap
18
Cadle Language Cap 18 · 59%
Benchmark average
35.0
Not enough benchmark results yet
Pricing
$0.20
$0.60 / 1M out · 12.9 pts/$
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
No data yet
Intelligence
5.8
Coding
No data yet
Agentic
19.3
MMLU
64.9
GPQA
43.9
Math
26.7
LiveCodeBench
34.5
HumanEval
No data yet
Reason
25.9
ARC-AGI
No data yet
Coverage AVG
35.0
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.