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Qwen3.5 35B A3B Base vs pi 0.7

At a Glance

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pi 0.7Physical Intelligence
Pricing and Limits
Context windowMaximum documented tokens262KNot 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

FieldQwen3.5-35B-A3B-Basepi 0.7
DeveloperQwenPhysical Intelligence
FamilyQwen3 5 35b A3b Basepi
ModelQwen3.5-35B-A3B-Basepi 0.7
VersionQwen3.5-35B-A3B-Base0.7
Lifecycleactiveactive
ReleasedUnknown2026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters36BUnknown
Active parameters3BUnknown
Licenseapache-2.0Unknown
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.

Qwen3.5 35B A3B Base Capabilities

chatgenerationtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDQwen/Qwen3.5-35B-A3B-Base

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

Qwen/Qwen3.5-35B-A3B-Base developer model repositoryQwen · observed Aug 28, 2026pi 0.7: a Steerable Model with Emergent CapabilitiesPhysical Intelligence · observed Aug 29, 2026

Questions

Qwen3.5 35B A3B Base vs pi 0.7 FAQs

Is Qwen3.5 35B A3B Base or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B Base and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.5 35B A3B Base 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, Qwen3.5 35B A3B Base or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Qwen3.5 35B A3B Base is 262K and pi 0.7 is —.

Which performs better in benchmarks, Qwen3.5 35B A3B Base 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 Qwen3.5 35B A3B Base or pi 0.7 be self-hosted?+

Qwen3.5 35B A3B Base is the only model in this pair currently marked as self-hostable. Qwen3.5 35B A3B Base is open weight; pi 0.7 is not marked open weight.

Can Qwen3.5 35B A3B Base and pi 0.7 understand images?+

Qwen3.5 35B A3B Base 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, Qwen3.5 35B A3B Base or pi 0.7?+

Neither has a larger sourced maximum output. Qwen3.5 35B A3B Base is — and pi 0.7 is —.

Do Qwen3.5 35B A3B Base and pi 0.7 support reasoning and tool use?+

Qwen3.5 35B A3B Base: tool calling and image input. pi 0.7: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 35B A3B Base or pi 0.7?+

Qwen3.5 35B A3B Base has 0 sourced provider routes; pi 0.7 has 0, a tie.

Which offers better value, Qwen3.5 35B A3B Base 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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