MolmoAct2-Pretrain vs Gemma 4 12B

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Ai2 · activeMolmoAct2-PretrainVerified Aug 28, 2026
Google DeepMind · activeGemma 4 12BVerified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldMolmoAct2-PretrainGemma 4 12B
DeveloperAi2Google DeepMind
FamilyMolmoact2 PretrainGemma 4
ModelMolmoAct2-PretrainGemma 4 12B
VersionMolmoAct2-PretrainGemma 4 12B
Lifecycleactiveactive
ReleasedUnknown2026-05-23
Knowledge cutoffUnknownUnknown
Input modalitiesModel-specific inputText, Image, Video, Audio
Output modalitiesModel-specific inputText
Context window16,384262,144
Total parameters4,864,631,76012,000,000,000
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownTogether Ai (Standard)
Capabilitiesrobot_action_generationchat, generation, reasoning, structured_outputs, tools

12 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

MolmoAct2-Pretrain Capabilities

robot action generation
Input price
Output price
Serving providers0
Canonical IDallenai/MolmoAct2-Pretrain

Gemma 4 12B Capabilities

chatgenerationreasoningstructured outputstools
Input price
Output price
Serving providers1
Canonical IDgoogle/gemma-4-12B-it

Internal Comparison Graph

Related Comparisons

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APairBContext
vsfamily variantsimage, text
vsfamily variantsaudio, image, text, video
vsfamily variantsaudio, image, text, video
vscross-developer peersaudio, image, text, video
vsfamily variantsimage, robotics, text
vsfamily variantsimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text
vscross-developer peersimage, text

Primary Evidence

Sources and Freshness

Questions

MolmoAct2-Pretrain vs Gemma 4 12B FAQs

Is MolmoAct2-Pretrain or Gemma 4 12B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2-Pretrain and Gemma 4 12B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct2-Pretrain or Gemma 4 12B?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, MolmoAct2-Pretrain or Gemma 4 12B?+

Gemma 4 12B has the larger sourced context window. MolmoAct2-Pretrain supports 16,384 and Gemma 4 12B supports 262,144.

Which performs better in benchmarks, MolmoAct2-Pretrain or Gemma 4 12B?+

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

Can MolmoAct2-Pretrain or Gemma 4 12B be self-hosted?+

Both models have the same recorded self-hosting status: supported. MolmoAct2-Pretrain is open weight; Gemma 4 12B is open weight.

Can MolmoAct2-Pretrain and Gemma 4 12B understand images?+

MolmoAct2-Pretrain is not documented with image input; Gemma 4 12B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct2-Pretrain or Gemma 4 12B?+

Neither has a larger sourced maximum output. MolmoAct2-Pretrain is — and Gemma 4 12B is —.

Do MolmoAct2-Pretrain and Gemma 4 12B support reasoning and tool use?+

MolmoAct2-Pretrain: none of these features are definitively sourced. Gemma 4 12B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct2-Pretrain or Gemma 4 12B?+

MolmoAct2-Pretrain has 0 sourced provider routes; Gemma 4 12B has 1, so Gemma 4 12B has broader tracked availability.

Which offers better value, MolmoAct2-Pretrain or Gemma 4 12B?+

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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