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GPT-Image 2.5 Flare vs pi 0.7

At a Glance

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pi 0.7Physical Intelligence
Pricing and Limits
Context windowMaximum documented tokensNot reportedNot reported
Model facts checkedSep 9, 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

FieldGPT-Image-2.5 Flarepi 0.7
DeveloperOpenAIPhysical Intelligence
FamilyGpt Image 2 5pi
ModelGPT-Image-2.5 Flarepi 0.7
VersionGPT-Image-2.5 Flare0.7
Lifecycleactiveactive
Released2026-09-082026-04-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Robot state
Output modalitiesImageRobot action
Context windowUnknownUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsUnknownNo
API availableYesUnknown
Self-hostableUnknownUnknown
Provider accessOpenai (Standard)Unknown
Capabilitiesimage-editing, image-generation, inpaintingcross-embodiment, dexterous-manipulation, language-steering, visual-subgoals
Default usage-tier rate limitsTier 1: 100,000 TPM, 5 IPM, Tier 2: 250,000 TPM, 20 IPM, Tier 3: 800,000 TPM, 50 IPM, Tier 4: 3,000,000 TPM, 150 IPM, Tier 5: 8,000,000 TPM, 250 IPMUnknown
Default snapshotgpt-image-2.5-flare-2026-09-08Unknown
Model positioningFast, high-quality everyday image generationUnknown
Quality settingslow, medium, high, xhigh, max, autoUnknown
Supported API routesv1/images/generations, v1/images/editsUnknown
Unsupported API routesv1/assistants, v1/audio/speech, v1/audio/transcriptions, v1/audio/translations, v1/batch, v1/chat/completions, v1/completions, v1/embeddings, v1/fine-tuning, v1/moderations, v1/realtime, v1/realtime/transcription_sessions, v1/realtime/translations, v1/responses, v1/videosUnknown
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.

GPT-Image 2.5 Flare Capabilities

image-editingimage-generationinpainting
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDopenai/gpt-image-2.5-flare

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

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Primary Evidence

Sources and Freshness

GPT-Image-2.5 Flare Model | OpenAI APIOpenAI · observed Sep 9, 2026pi 0.7: a Steerable Model with Emergent CapabilitiesPhysical Intelligence · observed Aug 29, 2026

Questions

GPT-Image 2.5 Flare vs pi 0.7 FAQs

Is GPT-Image 2.5 Flare or pi 0.7 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both GPT-Image 2.5 Flare and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, GPT-Image 2.5 Flare or pi 0.7?+

Only GPT-Image 2.5 Flare has a directly sourced input price: $5.00 per million tokens. Only GPT-Image 2.5 Flare has a directly sourced output price: $30.00 per million tokens.

Which has a larger context window, GPT-Image 2.5 Flare or pi 0.7?+

Neither model has a larger sourced context window in this comparison. GPT-Image 2.5 Flare is — and pi 0.7 is —.

Which performs better in benchmarks, GPT-Image 2.5 Flare 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 GPT-Image 2.5 Flare or pi 0.7 be self-hosted?+

Both models have the same recorded self-hosting status: unknown. GPT-Image 2.5 Flare is of unknown open-weight status; pi 0.7 is not marked open weight.

Can GPT-Image 2.5 Flare and pi 0.7 understand images?+

GPT-Image 2.5 Flare 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, GPT-Image 2.5 Flare or pi 0.7?+

Neither has a larger sourced maximum output. GPT-Image 2.5 Flare is — and pi 0.7 is —.

Do GPT-Image 2.5 Flare and pi 0.7 support reasoning and tool use?+

GPT-Image 2.5 Flare: image input. pi 0.7: image input. Feature support does not establish relative quality.

Which is available from more inference providers, GPT-Image 2.5 Flare or pi 0.7?+

GPT-Image 2.5 Flare has 1 sourced provider route; pi 0.7 has 0, so GPT-Image 2.5 Flare has broader tracked availability.

Which offers better value, GPT-Image 2.5 Flare 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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