Claude Haiku 4.5 vs pi 0.7

At a Glance

Compare
pi 0.7Physical Intelligence
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3UnrankedNot in the 46-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens200KNot 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

FieldClaude Haiku 4.5pi 0.7
DeveloperAnthropicPhysical Intelligence
FamilyClaude 4 5pi
ModelClaude Haiku 4.5pi 0.7
VersionClaude Haiku 4.50.7
Lifecycleactiveactive
Released2025-10-152026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window200KUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesUnknown
Self-hostableNoUnknown
Provider accessAnthropic (Standard), Deepinfra (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.

Claude Haiku 4.5 Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDanthropic/claude-haiku-4-5

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

Claude Haiku 4.5 vs pi 0.7 FAQs

Is Claude Haiku 4.5 or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Haiku 4.5 or pi 0.7?+

Only Claude Haiku 4.5 has a directly sourced input price: $1.00 per million tokens. Only Claude Haiku 4.5 has a directly sourced output price: $5.00 per million tokens.

Which has a larger context window, Claude Haiku 4.5 or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Claude Haiku 4.5 is 200K and pi 0.7 is —.

Which performs better in benchmarks, Claude Haiku 4.5 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 Claude Haiku 4.5 or pi 0.7 be self-hosted?+

Neither model is the only model in this pair currently marked as self-hostable. Claude Haiku 4.5 is not marked open weight; pi 0.7 is not marked open weight.

Can Claude Haiku 4.5 and pi 0.7 understand images?+

Claude Haiku 4.5 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, Claude Haiku 4.5 or pi 0.7?+

Neither has a larger sourced maximum output. Claude Haiku 4.5 is 64K and pi 0.7 is —.

Do Claude Haiku 4.5 and pi 0.7 support reasoning and tool use?+

Claude Haiku 4.5: 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, Claude Haiku 4.5 or pi 0.7?+

Claude Haiku 4.5 has 2 sourced provider routes; pi 0.7 has 0, so Claude Haiku 4.5 has broader tracked availability.

Which offers better value, Claude Haiku 4.5 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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