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MolmoAct 2 vs Gemini 3.1 Flash Lite

At a Glance

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Gemini 3.1 Flash LiteGoogle DeepMind
Pricing and Limits
Context windowMaximum documented tokensNot reported1,049K
Model facts checkedAug 29, 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

FieldMolmoAct 2Gemini 3.1 Flash-Lite
DeveloperAi2Google DeepMind
FamilyMolmoAct 2Gemini 3
ModelMolmoAct 2Gemini 3.1 Flash-Lite
Version2Gemini 3.1 Flash-Lite
Lifecycleactiveactive
Released2026-05-05Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Robot stateText, Image, Video, Audio, Document
Output modalitiesRobot actionText
Context windowUnknown1,049K
Total parameters5BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableNoYes
Self-hostableYesNo
Provider accessUnknownGoogle AI (Standard), Google Gemini (Standard)
Capabilitiesaction-reasoning, bimanual-manipulation, depth-reasoning, fine-tuningchat, generation, reasoning, tools
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

Gemini 3.1 Flash Lite Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDgoogle-deepmind/gemini-3.1-flash-lite

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Primary Evidence

Sources and Freshness

MolmoAct2 developer model repositoryAi2 · observed Aug 29, 2026Gemini 3.1 Flash-Lite | Gemini APIGoogle DeepMind · observed Aug 29, 2026

Questions

MolmoAct 2 vs Gemini 3.1 Flash Lite FAQs

Is MolmoAct 2 or Gemini 3.1 Flash Lite better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and Gemini 3.1 Flash Lite, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct 2 or Gemini 3.1 Flash Lite?+

Only Gemini 3.1 Flash Lite has a directly sourced input price: $0.25 per million tokens. Only Gemini 3.1 Flash Lite has a directly sourced output price: $1.50 per million tokens.

Which has a larger context window, MolmoAct 2 or Gemini 3.1 Flash Lite?+

Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and Gemini 3.1 Flash Lite is 1,049K.

Which performs better in benchmarks, MolmoAct 2 or Gemini 3.1 Flash Lite?+

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

Can MolmoAct 2 or Gemini 3.1 Flash Lite be self-hosted?+

MolmoAct 2 is the only model in this pair currently marked as self-hostable. MolmoAct 2 is open weight; Gemini 3.1 Flash Lite is not marked open weight.

Can MolmoAct 2 and Gemini 3.1 Flash Lite understand images?+

MolmoAct 2 is documented with image input; Gemini 3.1 Flash Lite is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct 2 or Gemini 3.1 Flash Lite?+

Neither has a larger sourced maximum output. MolmoAct 2 is — and Gemini 3.1 Flash Lite is 66K.

Do MolmoAct 2 and Gemini 3.1 Flash Lite support reasoning and tool use?+

MolmoAct 2: reasoning and image input. Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct 2 or Gemini 3.1 Flash Lite?+

MolmoAct 2 has 0 sourced provider routes; Gemini 3.1 Flash Lite has 2, so Gemini 3.1 Flash Lite has broader tracked availability.

Which offers better value, MolmoAct 2 or Gemini 3.1 Flash Lite?+

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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