DeepSeek V4 Pro cost & VRAM calculator
What does DeepSeek V4 Pro cost to run for your workload, and can you run it on your own hardware? Set your workload below - we compute per-provider API cost live and tell you honestly whether local hardware can run it.
This is where owning stops making sense
DeepSeek V4 Pro is a 1600-billion-parameter model. No rig an individual can buy runs it - so unlike a workstation GPU model, there's no break-even to compute. The honest answer for nearly everyone is the per-provider API cost below.
1.6T total, 49B active per token (MoE). Hybrid attention: Compressed Sparse Attention (CSA, 4x KV compression) + Heavily Compressed Attention (HCA, 128x) across 61 layers, manifold-constrained Hyper-Connections (mHC). FP4 experts + FP8 rest, 32T+ pretraining tokens, Muon optimizer. Context: 1M native; Think Max mode recommends >=384K. Self-hosting: ~800GB+ for Q4 weights - needs a multi-H200/H100 cluster or DGX-class system. Not workstation-fittable, so cloud-only for nearly everyone despite the open weights. Top open-weight agentic coding score (SWE-bench Verified 80.6). Open weights under MIT. API phase-out (announced 2026-09-09): from 2026-09-14 04:00 UTC, deepseek-v4-pro requests route to DeepSeek V4.1 Flash at Flash rates (previously $1.32 peak in / $3.96 peak out per 1M) until V4.1-Pro launches.
Your workload
API cost for your workload
| Provider | Rate ($/1M) | Monthly cost |
|---|---|---|
| Parasail | $0.45 in · $3.48 out · $0.10 cache | $0.01 cheapest |
| Nous Portal may be stale | $0.53 in · $1.58 out | $0.01 cheapest |
| StreamLake | $0.96 in · $1.91 out · $0.08 cache | $0.02 |
| GMICloud | $0.96 in · $1.91 out · $0.08 cache | $0.02 |
| DigitalOcean | $1.04 in · $2.09 out · $0.21 cache | $0.03 |
| Cloudflare | $1.15 in · $2.55 out · $0.20 cache | $0.03 |
| DeepInfra | $1.30 in · $2.60 out · $0.10 cache | $0.03 |
| SiliconFlow | $1.50 in · $3.14 out · $0.14 cache | $0.04 |
| Alibaba | $1.56 in · $3.12 out · $0.13 cache | $0.04 |
| Novita | $1.60 in · $3.20 out · $0.14 cache | $0.04 |
| Venice | $1.65 in · $3.30 out · $0.33 cache | $0.04 |
| AtlasCloud | $1.68 in · $3.38 out · $0.13 cache | $0.04 |
| Baidu | $1.69 in · $3.38 out · $0.14 cache | $0.04 |
| Azure | $1.91 in · $3.83 out · $0.16 cache | $0.05 |
| Reka | $1.05 in · $10.50 out · $0.21 cache | $0.03 |
Monthly cost is an estimate from list prices and your workload - verify against the provider before committing. Cached fraction applies the cache rate to that share of input.
Can you run it locally?
DeepSeek V4 Pro has no published quantization that fits a rig one person can buy, so there's no local-hardware recommendation and no break-even to compute. The honest answer is the per-provider API cost above.
1.6T total, 49B active per token (MoE). Hybrid attention: Compressed Sparse Attention (CSA, 4x KV compression) + Heavily Compressed Attention (HCA, 128x) across 61 layers, manifold-constrained Hyper-Connections (mHC). FP4 experts + FP8 rest, 32T+ pretraining tokens, Muon optimizer. Context: 1M native; Think Max mode recommends >=384K. Self-hosting: ~800GB+ for Q4 weights - needs a multi-H200/H100 cluster or DGX-class system. Not workstation-fittable, so cloud-only for nearly everyone despite the open weights. Top open-weight agentic coding score (SWE-bench Verified 80.6). Open weights under MIT. API phase-out (announced 2026-09-09): from 2026-09-14 04:00 UTC, deepseek-v4-pro requests route to DeepSeek V4.1 Flash at Flash rates (previously $1.32 peak in / $3.96 peak out per 1M) until V4.1-Pro launches.
See the model card for the full architecture notes and any cloud subscription plans.