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Llama 4 Maverick 17B 128E vs pi 0.7

At a Glance

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pi 0.7Physical Intelligence
Pricing and Limits
Context windowMaximum documented tokens1,000KNot 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

FieldLlama-4-Maverick-17B-128Epi 0.7
DeveloperMetaPhysical Intelligence
FamilyLlama 4 Maverick 17b 128epi
ModelLlama-4-Maverick-17B-128Epi 0.7
VersionLlama-4-Maverick-17B-128E0.7
Lifecycleactiveactive
Released2025-04-052026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window1,000KUnknown
Total parameters401.6BUnknown
Active parameters17BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableUnknownUnknown
Self-hostableYesUnknown
Provider accessUnknownUnknown
Capabilitieschat, generation, toolscross-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.

Llama 4 Maverick 17B 128E Capabilities

chatgenerationtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDmeta-llama/Llama-4-Maverick-17B-128E

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

meta-llama/Llama-4-Maverick-17B-128E developer model repositoryMeta · observed Aug 28, 2026pi 0.7: a Steerable Model with Emergent CapabilitiesPhysical Intelligence · observed Aug 29, 2026

Questions

Llama 4 Maverick 17B 128E vs pi 0.7 FAQs

Is Llama 4 Maverick 17B 128E or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 4 Maverick 17B 128E 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, Llama 4 Maverick 17B 128E or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Llama 4 Maverick 17B 128E is 1,000K and pi 0.7 is —.

Which performs better in benchmarks, Llama 4 Maverick 17B 128E 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 Llama 4 Maverick 17B 128E or pi 0.7 be self-hosted?+

Llama 4 Maverick 17B 128E is the only model in this pair currently marked as self-hostable. Llama 4 Maverick 17B 128E is open weight; pi 0.7 is not marked open weight.

Can Llama 4 Maverick 17B 128E and pi 0.7 understand images?+

Llama 4 Maverick 17B 128E is 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, Llama 4 Maverick 17B 128E or pi 0.7?+

Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E is — and pi 0.7 is —.

Do Llama 4 Maverick 17B 128E and pi 0.7 support reasoning and tool use?+

Llama 4 Maverick 17B 128E: tool calling and image input. pi 0.7: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 4 Maverick 17B 128E or pi 0.7?+

Llama 4 Maverick 17B 128E has 0 sourced provider routes; pi 0.7 has 0, a tie.

Which offers better value, Llama 4 Maverick 17B 128E 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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