DeepSeek V4 Pro vs GR00T N1.7 3B

At a Glance

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Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#10 of 44$0.054 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens1,049KNot 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

FieldDeepSeek-V4-ProGR00T N1.7 3B
DeveloperDeepSeekNVIDIA
FamilyDeepseek V4 ProIsaac GR00T
ModelDeepSeek-V4-ProGR00T N1.7 3B
VersionDeepSeek-V4-ProN1.7
Lifecycleactiveactive
Released2026-04-242026-07-07
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Robot state
Output modalitiesTextRobot action
Context window1,049KUnknown
Total parameters1.6T3B
Active parameters49BUnknown
Licensemitapache-2.0
Open weightsYesYes
API availableYesNo
Self-hostableYesYes
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitieschat, generation, reasoningcross-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.

DeepSeek V4 Pro Capabilities

chatgenerationreasoning
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDdeepseek-ai/DeepSeek-V4-Pro

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

DeepSeek V4 Pro vs GR00T N1.7 3B FAQs

Is DeepSeek V4 Pro or GR00T N1.7 3B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and GR00T N1.7 3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Pro or GR00T N1.7 3B?+

Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.

Which has a larger context window, DeepSeek V4 Pro or GR00T N1.7 3B?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro is 1,049K and GR00T N1.7 3B is —.

Which performs better in benchmarks, DeepSeek V4 Pro 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 DeepSeek V4 Pro or GR00T N1.7 3B be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; GR00T N1.7 3B is open weight.

Can DeepSeek V4 Pro and GR00T N1.7 3B understand images?+

DeepSeek V4 Pro 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, DeepSeek V4 Pro or GR00T N1.7 3B?+

Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and GR00T N1.7 3B is —.

Do DeepSeek V4 Pro and GR00T N1.7 3B support reasoning and tool use?+

DeepSeek V4 Pro: reasoning. GR00T N1.7 3B: image input. Feature support does not establish relative quality.

Which is available from more inference providers, DeepSeek V4 Pro or GR00T N1.7 3B?+

DeepSeek V4 Pro has 6 sourced provider routes; GR00T N1.7 3B has 0, so DeepSeek V4 Pro has broader tracked availability.

Which offers better value, DeepSeek V4 Pro 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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