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SOMA X v0.3.0 vs pi 0.7

At a Glance

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pi 0.7Physical Intelligence
Pricing and Limits
Context windowMaximum documented tokensNot reportedNot reported
Model facts checkedSep 2, 2026View model evidence →Aug 29, 2026View model evidence →

Available Benchmarks

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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

FieldSOMA-X v0.3.0pi 0.7
DeveloperNVIDIAPhysical Intelligence
FamilySoma Xpi
ModelSOMA-X v0.3.0pi 0.7
VersionSOMA-X v0.3.00.7
Lifecycleactiveactive
Released2026-09-022026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesModel-specific inputText, Image, Robot state
Output modalities3DRobot action
Context windowUnknownUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableNoUnknown
Self-hostableYesUnknown
Provider accessUnknownUnknown
Capabilitiesanimation, hand-modeling, human-body-modeling, motion-retargeting, pose-inversion, simulationcross-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.

SOMA X v0.3.0 Capabilities

animationhand-modelinghuman-body-modelingmotion-retargetingpose-inversionsimulation
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDnvidia/SOMA-X-v0.3.0

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/SOMA-X v0.3.0 developer model repositoryNVIDIA · observed Sep 2, 2026pi 0.7: a Steerable Model with Emergent CapabilitiesPhysical Intelligence · observed Aug 29, 2026

Questions

SOMA X v0.3.0 vs pi 0.7 FAQs

Is SOMA X v0.3.0 or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both SOMA X v0.3.0 and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, SOMA X v0.3.0 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, SOMA X v0.3.0 or pi 0.7?+

Neither model has a larger sourced context window in this comparison. SOMA X v0.3.0 is — and pi 0.7 is —.

Which performs better in benchmarks, SOMA X v0.3.0 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 SOMA X v0.3.0 or pi 0.7 be self-hosted?+

SOMA X v0.3.0 is the only model in this pair currently marked as self-hostable. SOMA X v0.3.0 is open weight; pi 0.7 is not marked open weight.

Can SOMA X v0.3.0 and pi 0.7 understand images?+

SOMA X v0.3.0 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, SOMA X v0.3.0 or pi 0.7?+

Neither has a larger sourced maximum output. SOMA X v0.3.0 is — and pi 0.7 is —.

Do SOMA X v0.3.0 and pi 0.7 support reasoning and tool use?+

SOMA X v0.3.0: 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, SOMA X v0.3.0 or pi 0.7?+

SOMA X v0.3.0 has 0 sourced provider routes; pi 0.7 has 0, a tie.

Which offers better value, SOMA X v0.3.0 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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