Qwen: Qwen3.8 2.4T A95B vs SpaceXAI: Grok Build 0.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.8 2.4T A95B (qwen/qwen3.8-2.4t-a95b) vs SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.8 2.4T A95B (qwen/qwen3.8-2.4t-a95b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.8 2.4T A95B: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) 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: Qwen3.8 2.4T A95B (API ID: qwen/qwen3.8-2.4t-a95b) vs SpaceXAI: Grok Build 0.1 (API ID: x-ai/grok-build-0.1), SpaceXAI: Grok Build 0.1 offers lower standard input pricing at $1/1M tokens ($2/1M output), while SpaceXAI: Grok Build 0.1 leads in cached prefix economics at $0.5/1M tokens (50% discount). Qwen: Qwen3.8 2.4T A95B 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: Qwen3.8 2.4T A95B | SpaceXAI: Grok Build 0.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.8-2.4t-a95b | x-ai/grok-build-0.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $6 | $1 / $2 | SpaceXAI: Grok Build 0.1 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.5/1M (50% Off) | SpaceXAI: Grok Build 0.1 |
| Context Window / Max Output | 1024K In / 128K Out | 250K In / 225K Out | SpaceXAI: Grok Build 0.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.8 2.4T A95B (-0ms) |
Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out
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: Qwen3.8 2.4T A95B 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.