pi 0.7 vs Qwen3.8 Max
At a Glance
| Compare |  pi 0.7Physical Intelligence |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #23 of 44$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7 |
| Pricing and Limits | ||
| Context windowMaximum documented tokens | Not reported | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | pi 0.7 | Qwen3.8-Max |
|---|---|---|
| Developer | Physical Intelligence | Qwen |
| Family | pi | Qwen3 8 Max |
| Model | pi 0.7 | Qwen3.8-Max |
| Version | 0.7 | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-04-16 | Unknown |
| 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 | Unknown | 2.4T |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Unknown | Yes |
| Self-hostable | Unknown | No |
| Provider access | Unknown | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | cross-embodiment, dexterous-manipulation, language-steering, visual-subgoals | agents, chat, reasoning, structured_outputs, tools, vision |
| Robotics model type | Vision-language-action model | Unknown |
| Action representation | Continuous robot actions conditioned by multimodal prompts | Unknown |
| Control architecture | High-level policy, world model, and action expert | Unknown |
| Inference location | Unknown | Unknown |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | mobile manipulators, bimanual UR5e, multiple fixed manipulators | Unknown |
| Training data | Robot demonstrations, autonomous data, egocentric human data, and multimodal web data described by the publisher. | Unknown |
pi 0.7 Capabilities
Qwen3.8 Max Capabilities
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| vs | pi 0.7Physical Intelligence | cross-developer peers |
Primary Evidence
Sources and Freshness
Questions
pi 0.7 vs Qwen3.8 Max FAQs
Is pi 0.7 or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both pi 0.7 and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, pi 0.7 or Qwen3.8 Max?+
Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.
Which has a larger context window, pi 0.7 or Qwen3.8 Max?+
Neither model has a larger sourced context window in this comparison. pi 0.7 is — and Qwen3.8 Max is 1,000K.
Which performs better in benchmarks, pi 0.7 or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can pi 0.7 or Qwen3.8 Max be self-hosted?+
Neither model is the only model in this pair currently marked as self-hostable. pi 0.7 is not marked open weight; Qwen3.8 Max is not marked open weight.
Can pi 0.7 and Qwen3.8 Max understand images?+
pi 0.7 is documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, pi 0.7 or Qwen3.8 Max?+
Neither has a larger sourced maximum output. pi 0.7 is — and Qwen3.8 Max is 131K.
Do pi 0.7 and Qwen3.8 Max support reasoning and tool use?+
pi 0.7: image input. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, pi 0.7 or Qwen3.8 Max?+
pi 0.7 has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, pi 0.7 or Qwen3.8 Max?+
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.