MolmoAct2 Think vs NVIDIA Nemotron 3.5 Lightning 30B A3B
At a Glance
| Compare | ||
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 16K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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
Side-by-Side Facts
| Field | MolmoAct2-Think | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
|---|---|---|
| Developer | Ai2 | NVIDIA |
| Family | Molmoact2 Think | Nvidia Nemotron 3 5 Lightning |
| Model | MolmoAct2-Think | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Version | MolmoAct2-Think | NVIDIA Nemotron 3.5 Lightning 30B-A3B |
| Lifecycle | active | active |
| Released | Unknown | 2026-08-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Model-specific input | Text |
| Output modalities | Model-specific input | Text |
| Context window | 16K | 1,049K |
| Total parameters | 5.4B | 30B |
| Active parameters | Unknown | 3B |
| License | Unknown | openmdw-1.1 |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Fireworks Ai (Standard) |
| Capabilities | reasoning, robot_action_generation | agents, chat, generation, reasoning, tools |
MolmoAct2 Think Capabilities
NVIDIA Nemotron 3.5 Lightning 30B A3B Capabilities
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Primary Evidence
Sources and Freshness
Questions
MolmoAct2 Think vs NVIDIA Nemotron 3.5 Lightning 30B A3B FAQs
Is MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2 Think and NVIDIA Nemotron 3.5 Lightning 30B A3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
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 NVIDIA Nemotron 3.5 Lightning 30B A3B?+
NVIDIA Nemotron 3.5 Lightning 30B A3B has the larger sourced context window. MolmoAct2 Think supports 16K and NVIDIA Nemotron 3.5 Lightning 30B A3B supports 1,049K.
Which performs better in benchmarks, MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B be self-hosted?+
Both models have the same recorded self-hosting status: supported. MolmoAct2 Think is open weight; NVIDIA Nemotron 3.5 Lightning 30B A3B is open weight.
Can MolmoAct2 Think and NVIDIA Nemotron 3.5 Lightning 30B A3B understand images?+
MolmoAct2 Think is not documented with image input; NVIDIA Nemotron 3.5 Lightning 30B A3B is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
Neither has a larger sourced maximum output. MolmoAct2 Think is — and NVIDIA Nemotron 3.5 Lightning 30B A3B is —.
Do MolmoAct2 Think and NVIDIA Nemotron 3.5 Lightning 30B A3B support reasoning and tool use?+
MolmoAct2 Think: reasoning. NVIDIA Nemotron 3.5 Lightning 30B A3B: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
MolmoAct2 Think has 0 sourced provider routes; NVIDIA Nemotron 3.5 Lightning 30B A3B has 1, so NVIDIA Nemotron 3.5 Lightning 30B A3B has broader tracked availability.
Which offers better value, MolmoAct2 Think or NVIDIA Nemotron 3.5 Lightning 30B A3B?+
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.