DeepSeek V4 Flash Base vs pi 0.7
At a Glance
| Compare | DeepSeek V4 Flash BaseDeepSeek | pi 0.7Physical Intelligence |
|---|---|---|
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Flash-Base | pi 0.7 |
|---|---|---|
| Developer | DeepSeek | Physical Intelligence |
| Family | Deepseek V4 Flash Base | pi |
| Model | DeepSeek-V4-Flash-Base | pi 0.7 |
| Version | DeepSeek-V4-Flash-Base | 0.7 |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-04-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Robot state |
| Output modalities | Text | Robot action |
| Context window | 1,049K | Unknown |
| Total parameters | 292B | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Unknown |
| Self-hostable | Yes | Unknown |
| Provider access | Unknown | Unknown |
| Capabilities | generation | cross-embodiment, dexterous-manipulation, language-steering, visual-subgoals |
| Robotics model type | Unknown | Vision-language-action model |
| Action representation | Unknown | Continuous robot actions conditioned by multimodal prompts |
| Control architecture | Unknown | High-level policy, world model, and action expert |
| Inference location | Unknown | Unknown |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | Unknown | mobile manipulators, bimanual UR5e, multiple fixed manipulators |
| Training data | Unknown | Robot demonstrations, autonomous data, egocentric human data, and multimodal web data described by the publisher. |
DeepSeek V4 Flash Base Capabilities
pi 0.7 Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash Base vs pi 0.7 FAQs
Is DeepSeek V4 Flash Base or pi 0.7 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base and pi 0.7, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash Base or pi 0.7?+
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, DeepSeek V4 Flash Base or pi 0.7?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Base is 1,049K and pi 0.7 is —.
Which performs better in benchmarks, DeepSeek V4 Flash Base or pi 0.7?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash Base or pi 0.7 be self-hosted?+
DeepSeek V4 Flash Base is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash Base is open weight; pi 0.7 is not marked open weight.
Can DeepSeek V4 Flash Base and pi 0.7 understand images?+
DeepSeek V4 Flash Base is not documented with image input; pi 0.7 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash Base or pi 0.7?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and pi 0.7 is —.
Do DeepSeek V4 Flash Base and pi 0.7 support reasoning and tool use?+
DeepSeek V4 Flash Base: none of these features are definitively sourced. pi 0.7: image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash Base or pi 0.7?+
DeepSeek V4 Flash Base has 0 sourced provider routes; pi 0.7 has 0, a tie.
Which offers better value, DeepSeek V4 Flash Base or pi 0.7?+
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.