MolmoAct 2 vs DeepSeek V3.2

At a Glance

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Pricing and Limits
Context windowMaximum documented tokensNot reported164K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 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 2DeepSeek-V3.2
DeveloperAi2DeepSeek
FamilyMolmoAct 2Deepseek V3 2
ModelMolmoAct 2DeepSeek-V3.2
Version2DeepSeek-V3.2
Lifecycleactiveactive
Released2026-05-052025-12-01
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Robot stateText
Output modalitiesRobot actionText
Context windowUnknown164K
Total parameters5B685.4B
Active parametersUnknownUnknown
Licenseapache-2.0mit
Open weightsYesYes
API availableNoYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitiesaction-reasoning, bimanual-manipulation, depth-reasoning, fine-tuningchat, generation, reasoning
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

DeepSeek V3.2 Capabilities

chatgenerationreasoning
Model typeUnknown
InferenceUnknown
Action representationUnknown
Supported embodimentsUnknown
Canonical IDdeepseek-ai/DeepSeek-V3.2

Primary Evidence

Sources and Freshness

Questions

MolmoAct 2 vs DeepSeek V3.2 FAQs

Is MolmoAct 2 or DeepSeek V3.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and DeepSeek V3.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct 2 or DeepSeek V3.2?+

Only DeepSeek V3.2 has a directly sourced input price: $0.26 per million tokens. Only DeepSeek V3.2 has a directly sourced output price: $0.38 per million tokens.

Which has a larger context window, MolmoAct 2 or DeepSeek V3.2?+

Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and DeepSeek V3.2 is 164K.

Which performs better in benchmarks, MolmoAct 2 or DeepSeek V3.2?+

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

Can MolmoAct 2 or DeepSeek V3.2 be self-hosted?+

Both models have the same recorded self-hosting status: supported. MolmoAct 2 is open weight; DeepSeek V3.2 is open weight.

Can MolmoAct 2 and DeepSeek V3.2 understand images?+

MolmoAct 2 is documented with image input; DeepSeek V3.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct 2 or DeepSeek V3.2?+

Neither has a larger sourced maximum output. MolmoAct 2 is — and DeepSeek V3.2 is —.

Do MolmoAct 2 and DeepSeek V3.2 support reasoning and tool use?+

MolmoAct 2: reasoning and image input. DeepSeek V3.2: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct 2 or DeepSeek V3.2?+

MolmoAct 2 has 0 sourced provider routes; DeepSeek V3.2 has 3, so DeepSeek V3.2 has broader tracked availability.

Which offers better value, MolmoAct 2 or DeepSeek V3.2?+

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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