Qwen3.8 27B vs pi 0.7

At a Glance

Compare
pi 0.7Physical Intelligence
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#30 of 4654.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.0–69.4UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#16 of 44$0.072 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#17 of 3854.8 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 45.8–62.5UnrankedNot in the 38-model eligible cohort
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

FieldQwen3.8-27Bpi 0.7
DeveloperQwenPhysical Intelligence
FamilyQwen3 8 27bpi
ModelQwen3.8-27Bpi 0.7
VersionQwen3.8-27B0.7
Lifecycleactiveactive
ReleasedUnknown2026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters27.8BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesUnknown
Self-hostableYesUnknown
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)Unknown
Capabilitieschat, generation, reasoning, 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.

Qwen3.8 27B Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDQwen/Qwen3.8-27B

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.8 27B vs pi 0.7 FAQs

Is Qwen3.8 27B or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3.8 27B or pi 0.7?+

Only Qwen3.8 27B has a directly sourced input price: $0.20 per million tokens. Only Qwen3.8 27B has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Qwen3.8 27B or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Qwen3.8 27B is 262K and pi 0.7 is —.

Which performs better in benchmarks, Qwen3.8 27B 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 Qwen3.8 27B or pi 0.7 be self-hosted?+

Qwen3.8 27B is the only model in this pair currently marked as self-hostable. Qwen3.8 27B is open weight; pi 0.7 is not marked open weight.

Can Qwen3.8 27B and pi 0.7 understand images?+

Qwen3.8 27B 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, Qwen3.8 27B or pi 0.7?+

Neither has a larger sourced maximum output. Qwen3.8 27B is 131K and pi 0.7 is —.

Do Qwen3.8 27B and pi 0.7 support reasoning and tool use?+

Qwen3.8 27B: reasoning, tool calling, and image input. pi 0.7: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.8 27B or pi 0.7?+

Qwen3.8 27B has 3 sourced provider routes; pi 0.7 has 0, so Qwen3.8 27B has broader tracked availability.

Which offers better value, Qwen3.8 27B 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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