Kimi K2.7 Code vs pi 0.7

At a Glance

Compare
Kimi K2.7 CodeMoonshot AI
pi 0.7Physical Intelligence
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimate#9 of 44$0.042 per LiveBench caseUnrankedNot in the 44-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens262KNot reported
Model facts checkedSep 3, 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

FieldKimi K2.7 Codepi 0.7
DeveloperMoonshot AIPhysical Intelligence
FamilyKimi K2 7pi
ModelKimi K2.7 Codepi 0.7
VersionKimi K2.7 Code0.7
Lifecycleactiveactive
Released2026-06-112026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, VideoText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters1TUnknown
Active parameters32BUnknown
Licensemodified-mitUnknown
Open weightsYesNo
API availableYesUnknown
Self-hostableYesUnknown
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)Unknown
Capabilitiesagents, chat, coding, reasoning, tools, visioncross-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.

Kimi K2.7 Code Capabilities

agentschatcodingreasoningtoolsvision
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDmoonshotai/Kimi-K2.7-Code

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

Kimi K2.7 Code vs pi 0.7 FAQs

Is Kimi K2.7 Code or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2.7 Code and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K2.7 Code or pi 0.7?+

Only Kimi K2.7 Code has a directly sourced input price: $0.68 per million tokens. Only Kimi K2.7 Code has a directly sourced output price: $3.21 per million tokens.

Which has a larger context window, Kimi K2.7 Code or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Kimi K2.7 Code is 262K and pi 0.7 is —.

Which performs better in benchmarks, Kimi K2.7 Code 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 Kimi K2.7 Code or pi 0.7 be self-hosted?+

Kimi K2.7 Code is the only model in this pair currently marked as self-hostable. Kimi K2.7 Code is open weight; pi 0.7 is not marked open weight.

Can Kimi K2.7 Code and pi 0.7 understand images?+

Kimi K2.7 Code 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, Kimi K2.7 Code or pi 0.7?+

Neither has a larger sourced maximum output. Kimi K2.7 Code is — and pi 0.7 is —.

Do Kimi K2.7 Code and pi 0.7 support reasoning and tool use?+

Kimi K2.7 Code: 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, Kimi K2.7 Code or pi 0.7?+

Kimi K2.7 Code has 4 sourced provider routes; pi 0.7 has 0, so Kimi K2.7 Code has broader tracked availability.

Which offers better value, Kimi K2.7 Code 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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