Gemini 3.7 Flash vs GR00T N1.7 3B

At a Glance

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Gemini 3.7 FlashGoogle DeepMind
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#4 of 4687.7 score · 3/3 sources · completeUnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#17 of 44$0.085 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#2 of 3869.9 score · 3/3 sources · completeUnrankedNot in the 38-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens1,049KNot reported
Model facts checkedAug 29, 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

FieldGemini 3.7 FlashGR00T N1.7 3B
DeveloperGoogle DeepMindNVIDIA
FamilyGemini 3Isaac GR00T
ModelGemini 3.7 FlashGR00T N1.7 3B
VersionGemini 3.7 FlashN1.7
Lifecycleactiveactive
ReleasedUnknown2026-07-07
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Robot state
Output modalitiesTextRobot action
Context window1,049KUnknown
Total parametersUnknown3B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, 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.

Gemini 3.7 Flash Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDgoogle-deepmind/gemini-3.7-flash

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

Gemini 3.7 Flash vs GR00T N1.7 3B FAQs

Is Gemini 3.7 Flash or GR00T N1.7 3B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash and GR00T N1.7 3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.7 Flash or GR00T N1.7 3B?+

Only Gemini 3.7 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.7 Flash has a directly sourced output price: $3.75 per million tokens.

Which has a larger context window, Gemini 3.7 Flash or GR00T N1.7 3B?+

Neither model has a larger sourced context window in this comparison. Gemini 3.7 Flash is 1,049K and GR00T N1.7 3B is —.

Which performs better in benchmarks, Gemini 3.7 Flash 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 Gemini 3.7 Flash or GR00T N1.7 3B be self-hosted?+

GR00T N1.7 3B is the only model in this pair currently marked as self-hostable. Gemini 3.7 Flash is not marked open weight; GR00T N1.7 3B is open weight.

Can Gemini 3.7 Flash and GR00T N1.7 3B understand images?+

Gemini 3.7 Flash is 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, Gemini 3.7 Flash or GR00T N1.7 3B?+

Neither has a larger sourced maximum output. Gemini 3.7 Flash is 66K and GR00T N1.7 3B is —.

Do Gemini 3.7 Flash and GR00T N1.7 3B support reasoning and tool use?+

Gemini 3.7 Flash: reasoning, tool calling, and image input. GR00T N1.7 3B: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.7 Flash or GR00T N1.7 3B?+

Gemini 3.7 Flash has 2 sourced provider routes; GR00T N1.7 3B has 0, so Gemini 3.7 Flash has broader tracked availability.

Which offers better value, Gemini 3.7 Flash 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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