Nemotron Cascade 2 30B A3B
Context 1M tokens
Providers
No provider publishes an API price for this model yet, so no cost can be modeled.
Composite
2 of 7 inputs6 radar axes: DesignArena's two boards share one14.0
Thin data · 2/7Based on only 2 of 7 Composite inputs — treat this rank as uncertaindominance-adjusted from 16.3: a better-measured model that is at least as good on each of these inputs ranks above it
AA Coding v4.x 25.3Coding Agent v1.4 —AA Intelligence (est.) 5.1AA Agentic —Epoch ECI —Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
10 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
Agentic
GDPval-AA v219447 Elo
GDPval-AA v2 v2 → · Published board — Tests professional knowledge-work deliverables across occupations using AA's Stirrup harness.
Terminal-Bench Hard (AA)6121.2%
Terminal-Bench Hard (AA) pinned revision 74221fb → · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Terminal-Bench v2.1 (AA)2620.6%
Terminal-Bench v2.1 (AA) v2.1 → · Published board — Tests terminal-based work on the 89-task verified refresh using Terminus 2.
Coding
AA Coding Index v4.x · frozen 2026-10-273025.3
AA Coding Index v4.x · frozen 2026-10-27 → · Published board — Artificial Analysis withdrew the Coding Index with Intelligence Index v5.0 (2026-10-28). These are the last v4.x values, frozen with their own date (2026-10-27).
Instruction-following
IFBench (AA single-turn)9880.4%
IFBench (AA single-turn) published 2026-09-10 → · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)5912.0%
Humanity's Last Exam (AA text-only) published 2026-09-10 → · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index30-51.5
AA-Omniscience Index published 2026-09-10 → · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.13739.3%
AA-LCR v1.1 v1.1 → · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Science
CritPt (AA)570.6%
CritPt (AA) published 2026-09-10 → · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)5875.8%
GPQA Diamond (AA) published 2026-09-10 → · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
Tool-use
τ²-Bench Telecom (AA)5453.2%
τ²-Bench Telecom (AA) published 2026-09-10 → · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
Unusual results
1 threshold-crossing signal flagged · 11 eligible benchmark families
How flags are calculated
Heuristic screen, not statistical significance: benchmark families are correlated and source uncertainty is unknown. Peer evidence needs ≥ 20 independently measured matched configurations from ≥ 10 distinct model families. A flag needs a directed population z-score of magnitude ≥ 1.5 and a gap of ≥ 1.5 from the leave-one-benchmark-family-out mean z in the same direction, over ≥ 5 other benchmark families.
- unusually strong IFBench (AA single-turn) published 2026-09-10
Why
Observed: 0.80408 fractionPeer mean 0.48006 · peer sd 0.17139 · n 450 · families 331Directed z 1.891 · baseline z -0.366 · gap 2.256 · profile n 100.80408 fractionmeasuredobserved 2026-09-10artificialanalysis.ai ↗Evidence
Axis: IFBench (AA single-turn) · published 2026-09-10 · Published boardExact value:0.804081632653061fractionObserved: 2026-09-10T21:47:16.627Z · publication date: not recordedObservation id:aa:9815da7d-70f4-44d6-b539-9ffef0faa152:ifbench
Missing coverage · 309 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.