MolmoAct2-Think vs Llama-4-Scout-17B-16E-Instruct
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | MolmoAct2-Think | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| Developer | Ai2 | Meta |
| Family | Molmoact2 Think | Llama 4 Scout 17b 16e Instruct |
| Model | MolmoAct2-Think | Llama-4-Scout-17B-16E-Instruct |
| Version | MolmoAct2-Think | Llama-4-Scout-17B-16E-Instruct |
| Lifecycle | active | active |
| Released | Unknown | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Model-specific input | Text, Image |
| Output modalities | Model-specific input | Text |
| Context window | 16,384 | 10,000,000 |
| Total parameters | 5,447,439,152 | 108,641,793,536 |
| Active parameters | Unknown | 17,000,000,000 |
| License | Unknown | other |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | reasoning, robot_action_generation | chat, generation, tools |
12 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
MolmoAct2-Think Capabilities
Llama-4-Scout-17B-16E-Instruct Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs | family variantsimage, robotics, text | ||
| vs | family variantsimage, text | ||
| vs | family variantsimage, text | ||
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| vs |  Mistral-Small-4-119B-2603Mistral AI | cross-developer peersimage, text | |
| vs | Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text | |
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| vs | Ministral-3-14B-Instruct-2512Mistral AI | cross-developer peersimage, text | |
Seed 1.8ByteDance Seed | vs | cross-developer peersimage, text | |
| vs | Ministral-3-3B-Reasoning-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-8B-Reasoning-2512Mistral AI | cross-developer peersimage, text | |
| vs | Ministral-3-14B-Reasoning-2512Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
MolmoAct2-Think vs Llama-4-Scout-17B-16E-Instruct FAQs
Is MolmoAct2-Think or Llama-4-Scout-17B-16E-Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct2-Think and Llama-4-Scout-17B-16E-Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoAct2-Think or Llama-4-Scout-17B-16E-Instruct?+
Only Llama-4-Scout-17B-16E-Instruct has a directly sourced input price: $0.10 per million tokens. Only Llama-4-Scout-17B-16E-Instruct has a directly sourced output price: $0.30 per million tokens.
Which has a larger context window, MolmoAct2-Think or Llama-4-Scout-17B-16E-Instruct?+
Llama-4-Scout-17B-16E-Instruct has the larger sourced context window. MolmoAct2-Think supports 16,384 and Llama-4-Scout-17B-16E-Instruct supports 10,000,000.
Which performs better in benchmarks, MolmoAct2-Think or Llama-4-Scout-17B-16E-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-4-Scout-17B-16E-Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. MolmoAct2-Think is open weight; Llama-4-Scout-17B-16E-Instruct is open weight.
Can MolmoAct2-Think and Llama-4-Scout-17B-16E-Instruct understand images?+
MolmoAct2-Think is not documented with image input; Llama-4-Scout-17B-16E-Instruct is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MolmoAct2-Think or Llama-4-Scout-17B-16E-Instruct?+
Neither has a larger sourced maximum output. MolmoAct2-Think is — and Llama-4-Scout-17B-16E-Instruct is —.
Do MolmoAct2-Think and Llama-4-Scout-17B-16E-Instruct support reasoning and tool use?+
MolmoAct2-Think: reasoning. Llama-4-Scout-17B-16E-Instruct: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoAct2-Think or Llama-4-Scout-17B-16E-Instruct?+
MolmoAct2-Think has 0 sourced provider routes; Llama-4-Scout-17B-16E-Instruct has 4, so Llama-4-Scout-17B-16E-Instruct has broader tracked availability.
Which offers better value, MolmoAct2-Think or Llama-4-Scout-17B-16E-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.