DeepSeek V4 Flash Base vs GR00T N1.7 3B
At a Glance
| Compare | DeepSeek V4 Flash BaseDeepSeek | GR00T N1.7 3BNVIDIA |
|---|---|---|
| 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 | GR00T N1.7 3B |
|---|---|---|
| Developer | DeepSeek | NVIDIA |
| Family | Deepseek V4 Flash Base | Isaac GR00T |
| Model | DeepSeek-V4-Flash-Base | GR00T N1.7 3B |
| Version | DeepSeek-V4-Flash-Base | N1.7 |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-07-07 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Robot state |
| Output modalities | Text | Robot action |
| Context window | 1,049K | Unknown |
| Total parameters | 292B | 3B |
| Active parameters | Unknown | Unknown |
| License | Unknown | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Unknown | No |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Unknown |
| Capabilities | generation | cross-embodiment, dexterous-manipulation, whole-body-control, fine-tuning |
| Robotics model type | Unknown | Vision-language-action model |
| Action representation | Unknown | Predictive chunks of relative joint motions |
| Control architecture | Unknown | Vision-language backbone with action expert |
| Inference location | Unknown | On device |
| Native control rate (Hz) | Unknown | Unknown |
| Supported embodiments | Unknown | Unitree G1, AgiBot Genie-1, Fourier GR-1, bimanual manipulation platforms |
| Training data | Unknown | Mixture of real teleoperation, synthetic robot data, and internet-scale video described by NVIDIA. |
DeepSeek V4 Flash Base Capabilities
GR00T N1.7 3B Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash Base vs GR00T N1.7 3B FAQs
Is DeepSeek V4 Flash Base or GR00T N1.7 3B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Base and GR00T N1.7 3B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash Base or GR00T N1.7 3B?+
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 GR00T N1.7 3B?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash Base is 1,049K and GR00T N1.7 3B is —.
Which performs better in benchmarks, DeepSeek V4 Flash Base or GR00T N1.7 3B?+
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 GR00T N1.7 3B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash Base is open weight; GR00T N1.7 3B is open weight.
Can DeepSeek V4 Flash Base and GR00T N1.7 3B understand images?+
DeepSeek V4 Flash Base is not documented with image input; GR00T N1.7 3B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash Base or GR00T N1.7 3B?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash Base is — and GR00T N1.7 3B is —.
Do DeepSeek V4 Flash Base and GR00T N1.7 3B support reasoning and tool use?+
DeepSeek V4 Flash Base: none of these features are definitively sourced. GR00T N1.7 3B: image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash Base or GR00T N1.7 3B?+
DeepSeek V4 Flash Base has 0 sourced provider routes; GR00T N1.7 3B has 0, a tie.
Which offers better value, DeepSeek V4 Flash Base or GR00T N1.7 3B?+
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.