MolmoAct 2 vs Hy4 preview

At a Glance

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Pricing and Limits
Context windowMaximum documented tokensNot reported1,000K
Model facts checkedAug 29, 2026View model evidence →Sep 2, 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 2Hy4 preview
DeveloperAi2Tencent
FamilyMolmoAct 2Hy4
ModelMolmoAct 2Hy4 preview
Version2Hy4 preview
Lifecycleactivepreview
Released2026-05-052026-08-28
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Robot stateText
Output modalitiesRobot actionText
Context windowUnknown1,000K
Total parameters5B770B
Active parametersUnknown49B
Licenseapache-2.0apache-2.0
Open weightsYesYes
API availableNoYes
Self-hostableYesYes
Provider accessUnknownOpenrouter (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

Hy4 preview Capabilities

chatgenerationreasoningtools
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDtencent/Hy4-preview

Primary Evidence

Sources and Freshness

Questions

MolmoAct 2 vs Hy4 preview FAQs

Is MolmoAct 2 or Hy4 preview better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and Hy4 preview, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct 2 or Hy4 preview?+

Only Hy4 preview has a directly sourced input price: $0.834 per million tokens. Only Hy4 preview has a directly sourced output price: $2.501 per million tokens.

Which has a larger context window, MolmoAct 2 or Hy4 preview?+

Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and Hy4 preview is 1,000K.

Which performs better in benchmarks, MolmoAct 2 or Hy4 preview?+

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

Can MolmoAct 2 or Hy4 preview be self-hosted?+

Both models have the same recorded self-hosting status: supported. MolmoAct 2 is open weight; Hy4 preview is open weight.

Can MolmoAct 2 and Hy4 preview understand images?+

MolmoAct 2 is documented with image input; Hy4 preview is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct 2 or Hy4 preview?+

Neither has a larger sourced maximum output. MolmoAct 2 is — and Hy4 preview is —.

Do MolmoAct 2 and Hy4 preview support reasoning and tool use?+

MolmoAct 2: reasoning and image input. Hy4 preview: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct 2 or Hy4 preview?+

MolmoAct 2 has 0 sourced provider routes; Hy4 preview has 1, so Hy4 preview has broader tracked availability.

Which offers better value, MolmoAct 2 or Hy4 preview?+

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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