pi 0.7 vs Jev

At a Glance

Compare
pi 0.7Physical Intelligence
JevTypeSafe
Pricing and Limits
Context windowMaximum documented tokensNot reported64K
Model facts checkedAug 29, 2026View model evidence →Sep 17, 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

Fieldpi 0.7Jev
DeveloperPhysical IntelligenceTypeSafe
FamilypiJev
Modelpi 0.7Jev
Version0.7Jev
Lifecycleactiveactive
Released2026-04-162026-09-15
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Robot stateText, Model-specific input
Output modalitiesRobot actionModel-specific input
Context windowUnknown64K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableUnknownYes
Self-hostableUnknownNo
Provider accessUnknownTypeSafe (Standard)
Capabilitiescross-embodiment, dexterous-manipulation, language-steering, visual-subgoalscalibrated-confidence, parallel-evaluation, structured_outputs, typed-decisions
Maximum Choice cardinalityUnknown255 options
Default request rate limitUnknown1200 requests per minute
State plus longest question limitUnknown32000 tokens
Combined state and questions limitUnknown64000 tokens
Default token rate limitUnknown250000 tokens per second
Robotics model typeVision-language-action modelUnknown
Action representationContinuous robot actions conditioned by multimodal promptsUnknown
Control architectureHigh-level policy, world model, and action expertUnknown
Inference locationUnknownUnknown
Native control rate (Hz)UnknownUnknown
Supported embodimentsmobile manipulators, bimanual UR5e, multiple fixed manipulatorsUnknown
Training dataRobot demonstrations, autonomous data, egocentric human data, and multimodal web data described by the publisher.Unknown

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

Jev Capabilities

calibrated-confidenceparallel-evaluationstructured outputstyped-decisions
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDtypesafe/jev

Primary Evidence

Sources and Freshness

Questions

pi 0.7 vs Jev FAQs

Is pi 0.7 or Jev better for coding?+

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

Which is cheaper, pi 0.7 or Jev?+

Only Jev has a directly sourced input price: $0.042 per million tokens. Only Jev has a directly sourced output price: $0.000 per million tokens.

Which has a larger context window, pi 0.7 or Jev?+

Neither model has a larger sourced context window in this comparison. pi 0.7 is — and Jev is 64K.

Which performs better in benchmarks, pi 0.7 or Jev?+

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

Can pi 0.7 or Jev be self-hosted?+

Neither model is the only model in this pair currently marked as self-hostable. pi 0.7 is not marked open weight; Jev is not marked open weight.

Can pi 0.7 and Jev understand images?+

pi 0.7 is documented with image input; Jev is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, pi 0.7 or Jev?+

Neither has a larger sourced maximum output. pi 0.7 is — and Jev is —.

Do pi 0.7 and Jev support reasoning and tool use?+

pi 0.7: image input. Jev: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, pi 0.7 or Jev?+

pi 0.7 has 0 sourced provider routes; Jev has 1, so Jev has broader tracked availability.

Which offers better value, pi 0.7 or Jev?+

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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