DeepSeek V4 Pro 0813 vs GR00T N1.7 3B
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  GR00T N1.7 3BNVIDIA |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Context windowMaximum documented tokens | 1,049K | Not reported |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 29, 2026View model evidence → |
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-0813 | GR00T N1.7 3B |
|---|---|---|
| Developer | DeepSeek | NVIDIA |
| Family | Deepseek V4 Pro | Isaac GR00T |
| Model | DeepSeek-V4-Pro-0813 | GR00T N1.7 3B |
| Version | DeepSeek-V4-Pro-0813 | N1.7 |
| Lifecycle | active | active |
| Released | 2026-08-13 | 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 | 1.6T | 3B |
| Active parameters | 49B | Unknown |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | No |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Unknown |
| Capabilities | agents, chat, coding, generation, reasoning, tools | 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 Pro 0813 Capabilities
GR00T N1.7 3B Capabilities
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-0813DeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs GR00T N1.7 3B FAQs
Is DeepSeek V4 Pro 0813 or GR00T N1.7 3B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 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 Pro 0813 or GR00T N1.7 3B?+
Only DeepSeek V4 Pro 0813 has a directly sourced input price: $1.30 per million tokens. Only DeepSeek V4 Pro 0813 has a directly sourced output price: $2.60 per million tokens.
Which has a larger context window, DeepSeek V4 Pro 0813 or GR00T N1.7 3B?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Pro 0813 is 1,049K and GR00T N1.7 3B is —.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 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 Pro 0813 or GR00T N1.7 3B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; GR00T N1.7 3B is open weight.
Can DeepSeek V4 Pro 0813 and GR00T N1.7 3B understand images?+
DeepSeek V4 Pro 0813 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 Pro 0813 or GR00T N1.7 3B?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and GR00T N1.7 3B is —.
Do DeepSeek V4 Pro 0813 and GR00T N1.7 3B support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. GR00T N1.7 3B: image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro 0813 or GR00T N1.7 3B?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; GR00T N1.7 3B has 0, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 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.