MolmoAct2 Think vs DeepSeek R1

At a Glance

Compare
DeepSeek R1DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.70Openrouter · Aug 28, 2026
Output priceFrom · USD / 1M tokensNot reported$2.50Openrouter · Aug 28, 2026
Context windowMaximum documented tokens16K164K
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

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

FieldMolmoAct2-ThinkDeepSeek-R1
DeveloperAi2DeepSeek
FamilyMolmoact2 ThinkDeepseek R1
ModelMolmoAct2-ThinkDeepSeek-R1
VersionMolmoAct2-ThinkDeepSeek-R1
Lifecycleactiveactive
ReleasedUnknown2025-01-20
Knowledge cutoffUnknownUnknown
Input modalitiesModel-specific inputText
Output modalitiesModel-specific inputText
Context window16K164K
Total parameters5.4B684.5B
Active parametersUnknown37B
LicenseUnknownmit
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownHugging Face (Standard), Openrouter (Standard)
Capabilitiesreasoning, robot_action_generationchat, generation, reasoning

MolmoAct2 Think Capabilities

reasoningrobot action generation
Serving providers0
Canonical IDallenai/MolmoAct2-Think

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

Primary Evidence

Sources and Freshness

Questions

MolmoAct2 Think vs DeepSeek R1 FAQs

Is MolmoAct2 Think or DeepSeek R1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2 Think and DeepSeek R1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct2 Think or DeepSeek R1?+

Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, MolmoAct2 Think or DeepSeek R1?+

DeepSeek R1 has the larger sourced context window. MolmoAct2 Think supports 16K and DeepSeek R1 supports 164K.

Which performs better in benchmarks, MolmoAct2 Think or DeepSeek R1?+

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

Can MolmoAct2 Think or DeepSeek R1 be self-hosted?+

Both models have the same recorded self-hosting status: supported. MolmoAct2 Think is open weight; DeepSeek R1 is open weight.

Can MolmoAct2 Think and DeepSeek R1 understand images?+

MolmoAct2 Think is not documented with image input; DeepSeek R1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct2 Think or DeepSeek R1?+

Neither has a larger sourced maximum output. MolmoAct2 Think is — and DeepSeek R1 is 33K.

Do MolmoAct2 Think and DeepSeek R1 support reasoning and tool use?+

MolmoAct2 Think: reasoning. DeepSeek R1: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct2 Think or DeepSeek R1?+

MolmoAct2 Think has 0 sourced provider routes; DeepSeek R1 has 2, so DeepSeek R1 has broader tracked availability.

Which offers better value, MolmoAct2 Think or DeepSeek R1?+

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.

Send Feedback