DeepSeek V4 Flash Vision Exp vs pi 0.7

At a Glance

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pi 0.7Physical Intelligence
Pricing and Limits
Context windowMaximum documented tokens1,049KNot reported
Model facts checkedSep 2, 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

FieldDeepSeek-V4-Flash-Vision-Exppi 0.7
DeveloperDeepSeekPhysical Intelligence
FamilyDeepseek V4 Flash Vision Exppi
ModelDeepSeek-V4-Flash-Vision-Exppi 0.7
VersionDeepSeek-V4-Flash-Vision-Exp0.7
Lifecycleretiredactive
Released2026-08-212026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesTextRobot action
Context window1,049KUnknown
Total parameters304.6BUnknown
Active parametersUnknownUnknown
LicensemitUnknown
Open weightsYesNo
API availableYesUnknown
Self-hostableYesUnknown
Provider accessDeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard)Unknown
Capabilitieschat, generation, reasoning, structured_outputs, 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.

DeepSeek V4 Flash Vision Exp Capabilities

chatgenerationreasoningstructured outputstools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDdeepseek-ai/DeepSeek-V4-Flash-Vision-Exp

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

DeepSeek V4 Flash Vision Exp vs pi 0.7 FAQs

Is DeepSeek V4 Flash Vision Exp or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Vision Exp and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek V4 Flash Vision Exp or pi 0.7?+

Only DeepSeek V4 Flash Vision Exp has a directly sourced input price: $0.22 per million tokens. Only DeepSeek V4 Flash Vision Exp has a directly sourced output price: $0.66 per million tokens.

Which has a larger context window, DeepSeek V4 Flash Vision Exp or pi 0.7?+

Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Vision Exp is 1,049K and pi 0.7 is —.

Which performs better in benchmarks, DeepSeek V4 Flash Vision Exp 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 DeepSeek V4 Flash Vision Exp or pi 0.7 be self-hosted?+

DeepSeek V4 Flash Vision Exp is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash Vision Exp is open weight; pi 0.7 is not marked open weight.

Can DeepSeek V4 Flash Vision Exp and pi 0.7 understand images?+

DeepSeek V4 Flash Vision Exp 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, DeepSeek V4 Flash Vision Exp or pi 0.7?+

Neither has a larger sourced maximum output. DeepSeek V4 Flash Vision Exp is 393K and pi 0.7 is —.

Do DeepSeek V4 Flash Vision Exp and pi 0.7 support reasoning and tool use?+

DeepSeek V4 Flash Vision Exp: 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, DeepSeek V4 Flash Vision Exp or pi 0.7?+

DeepSeek V4 Flash Vision Exp has 3 sourced provider routes; pi 0.7 has 0, so DeepSeek V4 Flash Vision Exp has broader tracked availability.

Which offers better value, DeepSeek V4 Flash Vision Exp 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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