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NVIDIA Nemotron 3 Nano 30B A3B Base BF16 vs pi 0.7

At a Glance

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pi 0.7Physical Intelligence
Pricing and Limits
Context windowMaximum documented tokens262KNot reported
Model facts checkedAug 28, 2026View model evidence →Aug 29, 2026View model evidence →
Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldNVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16pi 0.7
DeveloperNVIDIAPhysical Intelligence
FamilyNvidia Nemotron 3 Nano 30b A3b Base Bf16pi
ModelNVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16pi 0.7
VersionNVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF160.7
Lifecycleactiveactive
Released2025-12-152026-04-16
Knowledge cutoff2025-06-25Unknown
Input modalitiesTextText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters31.6BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableUnknownUnknown
Self-hostableYesUnknown
Provider accessUnknownUnknown
Capabilitiesgenerationcross-embodiment, dexterous-manipulation, language-steering, visual-subgoals
Robotics model typeUnknownVision-language-action model
Action representationUnknownContinuous robot actions conditioned by multimodal prompts
Control architectureUnknownHigh-level policy, world model, and action expert
Inference locationUnknownUnknown
Native control rate (Hz)UnknownUnknown
Supported embodimentsUnknownmobile manipulators, bimanual UR5e, multiple fixed manipulators
Training dataUnknownRobot demonstrations, autonomous data, egocentric human data, and multimodal web data described by the publisher.

NVIDIA Nemotron 3 Nano 30B A3B Base BF16 Capabilities

generation
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDnvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16

pi 0.7 Capabilities

cross-embodimentdexterous-manipulationlanguage-steeringvisual-subgoals
Model typeVision-language-action model
InferenceUnknown
Action representationContinuous robot actions conditioned by multimodal prompts
Supported embodiments3
Canonical IDphysical-intelligence/pi-0.7

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Primary Evidence

Sources and Freshness

nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 developer model repositoryNVIDIA · observed Aug 28, 2026pi 0.7: a Steerable Model with Emergent CapabilitiesPhysical Intelligence · observed Aug 29, 2026

Questions

NVIDIA Nemotron 3 Nano 30B A3B Base BF16 vs pi 0.7 FAQs

Is NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both NVIDIA Nemotron 3 Nano 30B A3B Base BF16 and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7?+

Neither model has a larger sourced context window in this comparison. NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is 262K and pi 0.7 is —.

Which performs better in benchmarks, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7 be self-hosted?+

NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is the only model in this pair currently marked as self-hostable. NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is open weight; pi 0.7 is not marked open weight.

Can NVIDIA Nemotron 3 Nano 30B A3B Base BF16 and pi 0.7 understand images?+

NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is not documented with image input; pi 0.7 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7?+

Neither has a larger sourced maximum output. NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is 131K and pi 0.7 is —.

Do NVIDIA Nemotron 3 Nano 30B A3B Base BF16 and pi 0.7 support reasoning and tool use?+

NVIDIA Nemotron 3 Nano 30B A3B Base BF16: none of these features are definitively sourced. pi 0.7: image input. Feature support does not establish relative quality.

Which is available from more inference providers, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7?+

NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has 0 sourced provider routes; pi 0.7 has 0, a tie.

Which offers better value, NVIDIA Nemotron 3 Nano 30B A3B Base BF16 or pi 0.7?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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