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Gemini Robotics 2 vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16

At a Glance

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Gemini Robotics 2Google DeepMind
Pricing and Limits
Context windowMaximum documented tokensNot reported262K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 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

FieldGemini Robotics 2NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
DeveloperGoogle DeepMindNVIDIA
FamilyGemini RoboticsNvidia Nemotron 3 Nano 30b A3b Base Bf16
ModelGemini Robotics 2NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
Version2NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
Lifecyclepreviewactive
Released2026-07-302025-12-15
Knowledge cutoffUnknown2025-06-25
Input modalitiesText, Image, Robot stateText
Output modalitiesRobot actionText
Context windowUnknown262K
Total parametersUnknown31.6B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableUnknownUnknown
Self-hostableUnknownYes
Provider accessUnknownUnknown
Capabilitiescross-embodiment, dexterous-manipulation, whole-body-control, multi-robot-collaborationgeneration
Robotics model typeVision-language-action modelUnknown
Action representationMotor-control actionsUnknown
Control architectureVision-language-action modelUnknown
Inference locationUnknownUnknown
Native control rate (Hz)UnknownUnknown
Supported embodimentsApptronik Apollo 2 with Inspire hands, Apptronik Apollo 2 with Sharpa hands, Franka Duo with Robotiq gripperUnknown
Training dataNot disclosed in the cited model page.Unknown

Gemini Robotics 2 Capabilities

cross-embodimentdexterous-manipulationwhole-body-controlmulti-robot-collaboration
Model typeVision-language-action model
InferenceUnknown
Action representationMotor-control actions
Supported embodiments3
Canonical IDgoogle-deepmind/gemini-robotics-2

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

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Primary Evidence

Sources and Freshness

Gemini Robotics 2Google DeepMind · observed Aug 29, 2026nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16 developer model repositoryNVIDIA · observed Aug 28, 2026

Questions

Gemini Robotics 2 vs NVIDIA Nemotron 3 Nano 30B A3B Base BF16 FAQs

Is Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini Robotics 2 and NVIDIA Nemotron 3 Nano 30B A3B Base BF16, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+

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, Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+

Neither model has a larger sourced context window in this comparison. Gemini Robotics 2 is — and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is 262K.

Which performs better in benchmarks, Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+

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

Can Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16 be self-hosted?+

NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is the only model in this pair currently marked as self-hostable. Gemini Robotics 2 is not marked open weight; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is open weight.

Can Gemini Robotics 2 and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 understand images?+

Gemini Robotics 2 is documented with image input; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+

Neither has a larger sourced maximum output. Gemini Robotics 2 is — and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 is 131K.

Do Gemini Robotics 2 and NVIDIA Nemotron 3 Nano 30B A3B Base BF16 support reasoning and tool use?+

Gemini Robotics 2: image input. NVIDIA Nemotron 3 Nano 30B A3B Base BF16: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+

Gemini Robotics 2 has 0 sourced provider routes; NVIDIA Nemotron 3 Nano 30B A3B Base BF16 has 0, a tie.

Which offers better value, Gemini Robotics 2 or NVIDIA Nemotron 3 Nano 30B A3B Base BF16?+

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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