DeepSeek-V4 Pro vs SpaceXAI: Grok Build 0.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek-V4 Pro (deepseek-v4-pro) vs SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Zero-Config Disk KV Cache ($0.07/1M) & Off-Peak UTC Batch Arbitrage
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for SpaceXAI: Grok Build 0.1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek-V4 Pro (API ID: deepseek-v4-pro) vs SpaceXAI: Grok Build 0.1 (API ID: x-ai/grok-build-0.1), DeepSeek-V4 Pro offers lower standard input pricing at $0.14/1M tokens ($0.28/1M output), while DeepSeek-V4 Pro leads in cached prefix economics at $0.07/1M tokens (50% discount). SpaceXAI: Grok Build 0.1 achieves a 180ms faster P90 time-to-first-token latency (280ms vs 460ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | DeepSeek-V4 Pro | SpaceXAI: Grok Build 0.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek-v4-pro | x-ai/grok-build-0.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.14 / $0.28 | $1 / $2 | DeepSeek-V4 Pro |
| Cache Read Price (per 1M) | $0.07/1M (50% Off) | $0.5/1M (50% Off) | DeepSeek-V4 Pro |
| Context Window / Max Output | 1000K In / 128K Out | 250K In / 225K Out | SpaceXAI: Grok Build 0.1 |
| P90 First-Token / Edge Latency | 460ms | 280ms | SpaceXAI: Grok Build 0.1 (-180ms) |
1.6-Trillion parameter (49B active) MoE architecture with Fine-Grained Sparse Attention and $0.07/1M disk KV cache hits.
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from DeepSeek-V4 Pro to SpaceXAI: Grok Build 0.1
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized Verified P90 latency of 280ms.