MolmoAct 2 vs DeepSeek V4.1 Flash
At a Glance
| Compare |  MolmoAct 2Ai2 |  DeepSeek V4.1 FlashDeepSeek |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #5 of 44$0.022 per LiveBench case |
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | 1,049K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 10, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | MolmoAct 2 | DeepSeek-V4.1-Flash |
|---|---|---|
| Developer | Ai2 | DeepSeek |
| Family | MolmoAct 2 | Deepseek V4 1 |
| Model | MolmoAct 2 | DeepSeek-V4.1-Flash |
| Version | 2 | DeepSeek-V4.1-Flash |
| Lifecycle | active | active |
| Released | 2026-05-05 | 2026-09-10 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Robot state | Text, Image |
| Output modalities | Robot action | Text |
| Context window | Unknown | 1,049K |
| Total parameters | 5B | 763.2B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | No | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | DeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard) |
| Capabilities | action-reasoning, bimanual-manipulation, depth-reasoning, fine-tuning | agents, chat, fim, generation, reasoning, responses, structured_outputs, tools, vision |
| Architecture design | Unknown | Causal Encoder-Decoder (20 encoder + 20 decoder layers) |
| Backbone parameters | Unknown | 552000000000 parameters |
| Active parameters during decode | Unknown | 16000000000 parameters |
| Active parameters during prefill | Unknown | 8000000000 parameters |
| Pre-training corpus | Unknown | 45000000000000 tokens |
| Reasoning effort range | Unknown | 1–100 |
| Routed experts per MoE layer | Unknown | 384 experts |
| Routed experts per token | Unknown | 6 experts |
| Transformer layers | Unknown | 40 layers |
| Robotics model type | Action reasoning model | Unknown |
| Action representation | Flow-matching continuous action expert | Unknown |
| Control architecture | Molmo 2-ER backbone with KV-cache bridge and action expert | Unknown |
| Inference location | Flexible | Unknown |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | SO-100, SO-101, Franka, WidowX, bimanual YAM | Unknown |
| Training data | Open bimanual YAM, SO-100/SO-101, DROID, BC-Z, Fractal, Bridge, and prior MolmoAct data described by Ai2. | Unknown |
MolmoAct 2 Capabilities
DeepSeek V4.1 Flash Capabilities
Related Comparisons
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|---|---|---|---|
MolmoAct 2Ai2 | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peers |
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MolmoAct 2Ai2 | vs | Claude Fable 5.1Anthropic | cross-developer peers |
MolmoAct 2Ai2 | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peers |
MolmoAct 2Ai2 | vs | Grok 4.6xAI | cross-developer peers |
MolmoAct 2Ai2 | vs |  Qwen3.8-MaxQwen | cross-developer peers |
MolmoAct 2Ai2 | vs |  Kimi-K3Moonshot AI | cross-developer peers |
 MiniMax-M3MiniMax | vs | MolmoAct 2Ai2 | cross-developer peers |
MolmoAct 2Ai2 | vs |  GLM-5.3Z.ai | cross-developer peers |
MolmoAct 2Ai2 | vs |  Hy4 previewTencent | cross-developer peers |
MolmoAct 2Ai2 | vs | Seed 2.1 ProByteDance Seed | cross-developer peers |
MolmoAct 2Ai2 | vs |  Mistral Large 3Mistral AI | cross-developer peers |
Primary Evidence
Sources and Freshness
Questions
MolmoAct 2 vs DeepSeek V4.1 Flash FAQs
Is MolmoAct 2 or DeepSeek V4.1 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and DeepSeek V4.1 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoAct 2 or DeepSeek V4.1 Flash?+
Only DeepSeek V4.1 Flash has a directly sourced input price: $0.15 per million tokens. Only DeepSeek V4.1 Flash has a directly sourced output price: $0.60 per million tokens.
Which has a larger context window, MolmoAct 2 or DeepSeek V4.1 Flash?+
Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and DeepSeek V4.1 Flash is 1,049K.
Which performs better in benchmarks, MolmoAct 2 or DeepSeek V4.1 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can MolmoAct 2 or DeepSeek V4.1 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. MolmoAct 2 is open weight; DeepSeek V4.1 Flash is open weight.
Can MolmoAct 2 and DeepSeek V4.1 Flash understand images?+
MolmoAct 2 is documented with image input; DeepSeek V4.1 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MolmoAct 2 or DeepSeek V4.1 Flash?+
Neither has a larger sourced maximum output. MolmoAct 2 is — and DeepSeek V4.1 Flash is 393K.
Do MolmoAct 2 and DeepSeek V4.1 Flash support reasoning and tool use?+
MolmoAct 2: reasoning and image input. DeepSeek V4.1 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoAct 2 or DeepSeek V4.1 Flash?+
MolmoAct 2 has 0 sourced provider routes; DeepSeek V4.1 Flash has 3, so DeepSeek V4.1 Flash has broader tracked availability.
Which offers better value, MolmoAct 2 or DeepSeek V4.1 Flash?+
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.