MiniMax M3 vs pi 0.7

At a Glance

Compare
MiniMax M3MiniMax
pi 0.7Physical Intelligence
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#35 of 4632.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 21.8–55.1UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#3 of 44$0.017 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#10 of 3859.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 53.8–70.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Context windowMaximum documented tokens1,049KNot 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

FieldMiniMax-M3pi 0.7
DeveloperMiniMaxPhysical Intelligence
FamilyMinimax M3pi
ModelMiniMax-M3pi 0.7
VersionMiniMax-M30.7
Lifecycleactiveactive
Released2026-06-012026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window1,049KUnknown
Total parameters427BUnknown
Active parameters23BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesUnknown
Self-hostableYesUnknown
Provider accessDeepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (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.

MiniMax M3 Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDMiniMaxAI/MiniMax-M3

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

MiniMax M3 vs pi 0.7 FAQs

Is MiniMax M3 or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MiniMax M3 or pi 0.7?+

Only MiniMax M3 has a directly sourced input price: $0.28 per million tokens. Only MiniMax M3 has a directly sourced output price: $1.10 per million tokens.

Which has a larger context window, MiniMax M3 or pi 0.7?+

Neither model has a larger sourced context window in this comparison. MiniMax M3 is 1,049K and pi 0.7 is —.

Which performs better in benchmarks, MiniMax M3 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 MiniMax M3 or pi 0.7 be self-hosted?+

MiniMax M3 is the only model in this pair currently marked as self-hostable. MiniMax M3 is open weight; pi 0.7 is not marked open weight.

Can MiniMax M3 and pi 0.7 understand images?+

MiniMax M3 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, MiniMax M3 or pi 0.7?+

Neither has a larger sourced maximum output. MiniMax M3 is — and pi 0.7 is —.

Do MiniMax M3 and pi 0.7 support reasoning and tool use?+

MiniMax M3: 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, MiniMax M3 or pi 0.7?+

MiniMax M3 has 5 sourced provider routes; pi 0.7 has 0, so MiniMax M3 has broader tracked availability.

Which offers better value, MiniMax M3 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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