Qwen: Qwen3.5 397B A17B vs SpaceXAI: Grok Build 0.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) vs SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.5 397B A17B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Qwen: Qwen3.5 397B A17B (API ID: qwen/qwen3.5-397b-a17b) vs SpaceXAI: Grok Build 0.1 (API ID: x-ai/grok-build-0.1), Qwen: Qwen3.5 397B A17B offers lower standard input pricing at $0.5/1M tokens ($3.6/1M output), while Qwen: Qwen3.5 397B A17B leads in cached prefix economics at $0.25/1M tokens (50% discount). Qwen: Qwen3.5 397B A17B achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Qwen: Qwen3.5 397B A17B | SpaceXAI: Grok Build 0.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.5-397b-a17b | x-ai/grok-build-0.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $3.6 | $1 / $2 | Qwen: Qwen3.5 397B A17B |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.5/1M (50% Off) | Qwen: Qwen3.5 397B A17B |
| Context Window / Max Output | 256K In / 230K Out | 250K In / 225K Out | Qwen: Qwen3.5 397B A17B |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.5 397B A17B (-0ms) |
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, ach
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 Qwen: Qwen3.5 397B A17B 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.