Mistral Medium 3.5 128B 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

FieldMistral-Medium-3.5-128Bpi 0.7
DeveloperMistral AIPhysical Intelligence
FamilyMistral Medium 3 5 128bpi
ModelMistral-Medium-3.5-128Bpi 0.7
VersionMistral-Medium-3.5-128B0.7
Lifecycleactiveactive
ReleasedUnknown2026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters127.7BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableUnknownUnknown
Self-hostableYesUnknown
Provider accessUnknownUnknown
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.

Mistral Medium 3.5 128B Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDmistralai/Mistral-Medium-3.5-128B

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

Mistral Medium 3.5 128B vs pi 0.7 FAQs

Is Mistral Medium 3.5 128B or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Medium 3.5 128B and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Mistral Medium 3.5 128B 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, Mistral Medium 3.5 128B or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Mistral Medium 3.5 128B is 262K and pi 0.7 is —.

Which performs better in benchmarks, Mistral Medium 3.5 128B 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 Mistral Medium 3.5 128B or pi 0.7 be self-hosted?+

Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Mistral Medium 3.5 128B is open weight; pi 0.7 is not marked open weight.

Can Mistral Medium 3.5 128B and pi 0.7 understand images?+

Mistral Medium 3.5 128B 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, Mistral Medium 3.5 128B or pi 0.7?+

Neither has a larger sourced maximum output. Mistral Medium 3.5 128B is — and pi 0.7 is —.

Do Mistral Medium 3.5 128B and pi 0.7 support reasoning and tool use?+

Mistral Medium 3.5 128B: 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, Mistral Medium 3.5 128B or pi 0.7?+

Mistral Medium 3.5 128B has 0 sourced provider routes; pi 0.7 has 0, a tie.

Which offers better value, Mistral Medium 3.5 128B 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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