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MolmoAct 2 vs GPT-Image 2.5 Flare

At a Glance

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Pricing and Limits
Context windowMaximum documented tokensNot reportedNot reported
Model facts checkedAug 29, 2026View model evidence →Sep 9, 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

FieldMolmoAct 2GPT-Image-2.5 Flare
DeveloperAi2OpenAI
FamilyMolmoAct 2Gpt Image 2 5
ModelMolmoAct 2GPT-Image-2.5 Flare
Version2GPT-Image-2.5 Flare
Lifecycleactiveactive
Released2026-05-052026-09-08
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Robot stateText, Image
Output modalitiesRobot actionImage
Context windowUnknownUnknown
Total parameters5BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesUnknown
API availableNoYes
Self-hostableYesUnknown
Provider accessUnknownOpenai (Standard)
Capabilitiesaction-reasoning, bimanual-manipulation, depth-reasoning, fine-tuningimage-editing, image-generation, inpainting
Default usage-tier rate limitsUnknownTier 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 IPM
Default snapshotUnknowngpt-image-2.5-flare-2026-09-08
Model positioningUnknownFast, high-quality everyday image generation
Quality settingsUnknownlow, medium, high, xhigh, max, auto
Supported API routesUnknownv1/images/generations, v1/images/edits
Unsupported API routesUnknownv1/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/videos
Robotics model typeAction reasoning modelUnknown
Action representationFlow-matching continuous action expertUnknown
Control architectureMolmo 2-ER backbone with KV-cache bridge and action expertUnknown
Inference locationFlexibleUnknown
Native control rate (Hz)UnknownUnknown
Supported embodimentsSO-100, SO-101, Franka, WidowX, bimanual YAMUnknown
Training dataOpen bimanual YAM, SO-100/SO-101, DROID, BC-Z, Fractal, Bridge, and prior MolmoAct data described by Ai2.Unknown

MolmoAct 2 Capabilities

action-reasoningbimanual-manipulationdepth-reasoningfine-tuning
Model typeAction reasoning model
InferenceFlexible
Action representationFlow-matching continuous action expert
Supported embodiments5
Canonical IDallenai/MolmoAct2

GPT-Image 2.5 Flare Capabilities

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

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Primary Evidence

Sources and Freshness

MolmoAct2 developer model repositoryAi2 · observed Aug 29, 2026GPT-Image-2.5 Flare Model | OpenAI APIOpenAI · observed Sep 9, 2026

Questions

MolmoAct 2 vs GPT-Image 2.5 Flare FAQs

Is MolmoAct 2 or GPT-Image 2.5 Flare better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and GPT-Image 2.5 Flare, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct 2 or GPT-Image 2.5 Flare?+

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, MolmoAct 2 or GPT-Image 2.5 Flare?+

Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and GPT-Image 2.5 Flare is —.

Which performs better in benchmarks, MolmoAct 2 or GPT-Image 2.5 Flare?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can MolmoAct 2 or GPT-Image 2.5 Flare be self-hosted?+

MolmoAct 2 is the only model in this pair currently marked as self-hostable. MolmoAct 2 is open weight; GPT-Image 2.5 Flare is of unknown open-weight status.

Can MolmoAct 2 and GPT-Image 2.5 Flare understand images?+

MolmoAct 2 is documented with image input; GPT-Image 2.5 Flare is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct 2 or GPT-Image 2.5 Flare?+

Neither has a larger sourced maximum output. MolmoAct 2 is — and GPT-Image 2.5 Flare is —.

Do MolmoAct 2 and GPT-Image 2.5 Flare support reasoning and tool use?+

MolmoAct 2: reasoning and image input. GPT-Image 2.5 Flare: image input. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct 2 or GPT-Image 2.5 Flare?+

MolmoAct 2 has 0 sourced provider routes; GPT-Image 2.5 Flare has 1, so GPT-Image 2.5 Flare has broader tracked availability.

Which offers better value, MolmoAct 2 or GPT-Image 2.5 Flare?+

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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