MolmoAct2 Think vs Ternary Bonsai 2 27B

At a Glance

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Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.075Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.50Openrouter · Sep 22, 2026
Context windowMaximum documented tokens16K262K
Model facts checkedAug 28, 2026View model evidence →Sep 18, 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-ThinkTernary Bonsai 2 27B
DeveloperAi2PrismML
FamilyMolmoact2 ThinkBonsai 2
ModelMolmoAct2-ThinkTernary Bonsai 2 27B
VersionMolmoAct2-ThinkTernary Bonsai 2 27B
Lifecycleactiveactive
ReleasedUnknown2026-09-17
Knowledge cutoffUnknownUnknown
Input modalitiesModel-specific inputText, Image
Output modalitiesModel-specific inputText
Context window16K262K
Total parameters5.4B27.4B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownOpenrouter (Standard)
Capabilitiesreasoning, robot_action_generationchat, generation, reasoning, tools, vision
Base modelUnknownQwen3.8 27B
Effective bit widthUnknown1.76 bits per weight
Language model sizeUnknown5.93 GB
Weight formatUnknownTernary g128 with FP16 group scales

MolmoAct2 Think Capabilities

reasoningrobot action generation
Serving providers0
Canonical IDallenai/MolmoAct2-Think

Ternary Bonsai 2 27B Capabilities

chatgenerationreasoningtoolsvision
Serving providers1
Canonical IDprism-ml/Ternary-Bonsai-2-27B

Primary Evidence

Sources and Freshness

Questions

MolmoAct2 Think vs Ternary Bonsai 2 27B FAQs

Is MolmoAct2 Think or Ternary Bonsai 2 27B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2 Think and Ternary Bonsai 2 27B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, MolmoAct2 Think or Ternary Bonsai 2 27B?+

Only Ternary Bonsai 2 27B has a directly sourced input price: $0.075 per million tokens. Only Ternary Bonsai 2 27B has a directly sourced output price: $0.50 per million tokens.

Which has a larger context window, MolmoAct2 Think or Ternary Bonsai 2 27B?+

Ternary Bonsai 2 27B has the larger sourced context window. MolmoAct2 Think supports 16K and Ternary Bonsai 2 27B supports 262K.

Which performs better in benchmarks, MolmoAct2 Think or Ternary Bonsai 2 27B?+

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

Can MolmoAct2 Think or Ternary Bonsai 2 27B be self-hosted?+

Both models have the same recorded self-hosting status: supported. MolmoAct2 Think is open weight; Ternary Bonsai 2 27B is open weight.

Can MolmoAct2 Think and Ternary Bonsai 2 27B understand images?+

MolmoAct2 Think is not documented with image input; Ternary Bonsai 2 27B is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, MolmoAct2 Think or Ternary Bonsai 2 27B?+

Neither has a larger sourced maximum output. MolmoAct2 Think is — and Ternary Bonsai 2 27B is —.

Do MolmoAct2 Think and Ternary Bonsai 2 27B support reasoning and tool use?+

MolmoAct2 Think: reasoning. Ternary Bonsai 2 27B: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, MolmoAct2 Think or Ternary Bonsai 2 27B?+

MolmoAct2 Think has 0 sourced provider routes; Ternary Bonsai 2 27B has 1, so Ternary Bonsai 2 27B has broader tracked availability.

Which offers better value, MolmoAct2 Think or Ternary Bonsai 2 27B?+

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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