NVIDIA · Open weightsNVIDIA Nemotron 3.5 Lightning 30B A3B NVFP4
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NVIDIA Nemotron 3.5 Lightning 30B A3B NVFP4
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NVIDIA · Open
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Language Cap
46
Cadle Language Cap 46 · 52%
Benchmark average
64.9
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
24.8
Intelligence
No data yet
Coding
52.8
Agentic
83.4
MMLU
83.3
GPQA
75.6
Math
No data yet
LiveCodeBench
32.1
HumanEval
No data yet
Reason
72.9
ARC-AGI
No data yet
Coverage AVG
64.9
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.