Devstral 2 123B Instruct 2512 vs pi 0.7

At a Glance

Compare
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

FieldDevstral-2-123B-Instruct-2512pi 0.7
DeveloperMistral AIPhysical Intelligence
FamilyDevstral 2 123b Instruct 2512pi
ModelDevstral-2-123B-Instruct-2512pi 0.7
VersionDevstral-2-123B-Instruct-25120.7
Lifecycleactiveactive
ReleasedUnknown2026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Robot state
Output modalitiesTextRobot action
Context window262KUnknown
Total parameters125BUnknown
Active parametersUnknownUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesUnknown
Self-hostableYesUnknown
Provider accessOpenrouter (Standard)Unknown
Capabilitieschat, generation, 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.

Devstral 2 123B Instruct 2512 Capabilities

chatgenerationtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDmistralai/Devstral-2-123B-Instruct-2512

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

Devstral 2 123B Instruct 2512 vs pi 0.7 FAQs

Is Devstral 2 123B Instruct 2512 or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Devstral 2 123B Instruct 2512 and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Devstral 2 123B Instruct 2512 or pi 0.7?+

Only Devstral 2 123B Instruct 2512 has a directly sourced input price: $0.44 per million tokens. Only Devstral 2 123B Instruct 2512 has a directly sourced output price: $2.20 per million tokens.

Which has a larger context window, Devstral 2 123B Instruct 2512 or pi 0.7?+

Neither model has a larger sourced context window in this comparison. Devstral 2 123B Instruct 2512 is 262K and pi 0.7 is —.

Which performs better in benchmarks, Devstral 2 123B Instruct 2512 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 Devstral 2 123B Instruct 2512 or pi 0.7 be self-hosted?+

Devstral 2 123B Instruct 2512 is the only model in this pair currently marked as self-hostable. Devstral 2 123B Instruct 2512 is open weight; pi 0.7 is not marked open weight.

Can Devstral 2 123B Instruct 2512 and pi 0.7 understand images?+

Devstral 2 123B Instruct 2512 is not 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, Devstral 2 123B Instruct 2512 or pi 0.7?+

Neither has a larger sourced maximum output. Devstral 2 123B Instruct 2512 is — and pi 0.7 is —.

Do Devstral 2 123B Instruct 2512 and pi 0.7 support reasoning and tool use?+

Devstral 2 123B Instruct 2512: tool calling. pi 0.7: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Devstral 2 123B Instruct 2512 or pi 0.7?+

Devstral 2 123B Instruct 2512 has 1 sourced provider route; pi 0.7 has 0, so Devstral 2 123B Instruct 2512 has broader tracked availability.

Which offers better value, Devstral 2 123B Instruct 2512 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.

Send Feedback