MolmoAct 2 vs Qwen3.7 Flash
At a Glance
| Compare |  MolmoAct 2Ai2 |  Qwen3.7 FlashQwen |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 3, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | MolmoAct 2 | Qwen3.7 Flash |
|---|---|---|
| Developer | Ai2 | Qwen |
| Family | MolmoAct 2 | Qwen3 7 |
| Model | MolmoAct 2 | Qwen3.7 Flash |
| Version | 2 | Qwen3.7 Flash |
| Lifecycle | active | active |
| Released | 2026-05-05 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Robot state | Text, Image, Video |
| Output modalities | Robot action | Text |
| Context window | Unknown | 1,000K |
| Total parameters | 5B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | No | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Openrouter (Standard) |
| Capabilities | action-reasoning, bimanual-manipulation, depth-reasoning, fine-tuning | agents, chat, generation, reasoning, structured_outputs, tools, vision |
| 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
Qwen3.7 Flash Capabilities
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
MolmoAct 2Ai2 | vs |  GPT-6 AstraOpenAI | cross-developer peers |
MolmoAct 2Ai2 | vs | Claude Fable 5.1Anthropic | cross-developer peers |
MolmoAct 2Ai2 | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peers |
MolmoAct 2Ai2 | vs |  DeepSeek-V4.1-FlashDeepSeek | 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 Qwen3.7 Flash FAQs
Is MolmoAct 2 or Qwen3.7 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MolmoAct 2 and Qwen3.7 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MolmoAct 2 or Qwen3.7 Flash?+
Only Qwen3.7 Flash has a directly sourced input price: $0.030 per million tokens. Only Qwen3.7 Flash has a directly sourced output price: $0.13 per million tokens.
Which has a larger context window, MolmoAct 2 or Qwen3.7 Flash?+
Neither model has a larger sourced context window in this comparison. MolmoAct 2 is — and Qwen3.7 Flash is 1,000K.
Which performs better in benchmarks, MolmoAct 2 or Qwen3.7 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 Qwen3.7 Flash be self-hosted?+
MolmoAct 2 is the only model in this pair currently marked as self-hostable. MolmoAct 2 is open weight; Qwen3.7 Flash is not marked open weight.
Can MolmoAct 2 and Qwen3.7 Flash understand images?+
MolmoAct 2 is documented with image input; Qwen3.7 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, MolmoAct 2 or Qwen3.7 Flash?+
Neither has a larger sourced maximum output. MolmoAct 2 is — and Qwen3.7 Flash is 66K.
Do MolmoAct 2 and Qwen3.7 Flash support reasoning and tool use?+
MolmoAct 2: reasoning and image input. Qwen3.7 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, MolmoAct 2 or Qwen3.7 Flash?+
MolmoAct 2 has 0 sourced provider routes; Qwen3.7 Flash has 2, so Qwen3.7 Flash has broader tracked availability.
Which offers better value, MolmoAct 2 or Qwen3.7 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.