Granite 4.1 3B vs GR00T N1.7 3B

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens131KNot 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

Fieldgranite-4.1-3bGR00T N1.7 3B
DeveloperIBMNVIDIA
FamilyGranite 4 1 3bIsaac GR00T
Modelgranite-4.1-3bGR00T N1.7 3B
Versiongranite-4.1-3bN1.7
Lifecycleactiveactive
Released2026-04-292026-07-07
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Robot state
Output modalitiesTextRobot action
Context window131KUnknown
Total parameters3.4B3B
Active parametersUnknownUnknown
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableUnknownNo
Self-hostableYesYes
Provider accessUnknownUnknown
Capabilitieschat, generation, toolscross-embodiment, dexterous-manipulation, whole-body-control, fine-tuning
Robotics model typeUnknownVision-language-action model
Action representationUnknownPredictive chunks of relative joint motions
Control architectureUnknownVision-language backbone with action expert
Inference locationUnknownOn device
Native control rate (Hz)UnknownUnknown
Supported embodimentsUnknownUnitree G1, AgiBot Genie-1, Fourier GR-1, bimanual manipulation platforms
Training dataUnknownMixture of real teleoperation, synthetic robot data, and internet-scale video described by NVIDIA.

Granite 4.1 3B Capabilities

chatgenerationtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDibm-granite/granite-4.1-3b

GR00T N1.7 3B Capabilities

cross-embodimentdexterous-manipulationwhole-body-controlfine-tuning
Model typeVision-language-action model
InferenceOn device
Action representationPredictive chunks of relative joint motions
Supported embodiments4
Canonical IDnvidia/GR00T-N1.7-3B

Primary Evidence

Sources and Freshness

Questions

Granite 4.1 3B vs GR00T N1.7 3B FAQs

Is Granite 4.1 3B or GR00T N1.7 3B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite 4.1 3B and GR00T N1.7 3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite 4.1 3B or GR00T N1.7 3B?+

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, Granite 4.1 3B or GR00T N1.7 3B?+

Neither model has a larger sourced context window in this comparison. Granite 4.1 3B is 131K and GR00T N1.7 3B is —.

Which performs better in benchmarks, Granite 4.1 3B or GR00T N1.7 3B?+

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

Can Granite 4.1 3B or GR00T N1.7 3B be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite 4.1 3B is open weight; GR00T N1.7 3B is open weight.

Can Granite 4.1 3B and GR00T N1.7 3B understand images?+

Granite 4.1 3B is not documented with image input; GR00T N1.7 3B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite 4.1 3B or GR00T N1.7 3B?+

Neither has a larger sourced maximum output. Granite 4.1 3B is — and GR00T N1.7 3B is —.

Do Granite 4.1 3B and GR00T N1.7 3B support reasoning and tool use?+

Granite 4.1 3B: tool calling. GR00T N1.7 3B: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Granite 4.1 3B or GR00T N1.7 3B?+

Granite 4.1 3B has 0 sourced provider routes; GR00T N1.7 3B has 0, a tie.

Which offers better value, Granite 4.1 3B or GR00T N1.7 3B?+

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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