MolmoAct2 Think vs Llama 3.1 405B Instruct

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens16K131K
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-ThinkLlama-3.1-405B-Instruct
DeveloperAi2Meta
FamilyMolmoact2 ThinkLlama 3 1 405b Instruct
ModelMolmoAct2-ThinkLlama-3.1-405B-Instruct
VersionMolmoAct2-ThinkLlama-3.1-405B-Instruct
Lifecycleactiveactive
ReleasedUnknown2024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesModel-specific inputText
Output modalitiesModel-specific inputText
Context window16K131K
Total parameters5.4B405.9B
Active parametersUnknownUnknown
LicenseUnknownllama3.1
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownTogether Ai (Standard)
Capabilitiesreasoning, robot_action_generationchat, generation, tools

MolmoAct2 Think Capabilities

reasoningrobot action generation
Serving providers0
Canonical IDallenai/MolmoAct2-Think

Llama 3.1 405B Instruct Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-3.1-405B-Instruct

Primary Evidence

Sources and Freshness

Questions

MolmoAct2 Think vs Llama 3.1 405B Instruct FAQs

Is MolmoAct2 Think or Llama 3.1 405B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2 Think and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct2 Think or Llama 3.1 405B Instruct?+

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 Think or Llama 3.1 405B Instruct?+

Llama 3.1 405B Instruct has the larger sourced context window. MolmoAct2 Think supports 16K and Llama 3.1 405B Instruct supports 131K.

Which performs better in benchmarks, MolmoAct2 Think or Llama 3.1 405B Instruct?+

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

Can MolmoAct2 Think or Llama 3.1 405B Instruct be self-hosted?+

Both models have the same recorded self-hosting status: supported. MolmoAct2 Think is open weight; Llama 3.1 405B Instruct is open weight.

Can MolmoAct2 Think and Llama 3.1 405B Instruct understand images?+

MolmoAct2 Think is not documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct2 Think or Llama 3.1 405B Instruct?+

Neither has a larger sourced maximum output. MolmoAct2 Think is — and Llama 3.1 405B Instruct is —.

Do MolmoAct2 Think and Llama 3.1 405B Instruct support reasoning and tool use?+

MolmoAct2 Think: reasoning. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct2 Think or Llama 3.1 405B Instruct?+

MolmoAct2 Think has 0 sourced provider routes; Llama 3.1 405B Instruct has 1, so Llama 3.1 405B Instruct has broader tracked availability.

Which offers better value, MolmoAct2 Think or Llama 3.1 405B Instruct?+

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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