SpaceXAI: Grok Build 0.1 vs Meta: Llama 3.2 3B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1) vs Meta: Llama 3.2 3B Instruct (meta-llama/llama-3.2-3b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Meta: Llama 3.2 3B Instruct (meta-llama/llama-3.2-3b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.2 3B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.025/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing SpaceXAI: Grok Build 0.1 (API ID: x-ai/grok-build-0.1) vs Meta: Llama 3.2 3B Instruct (API ID: meta-llama/llama-3.2-3b-instruct), Meta: Llama 3.2 3B Instruct offers lower standard input pricing at $0.05/1M tokens ($0.33/1M output), while Meta: Llama 3.2 3B Instruct leads in cached prefix economics at $0.025/1M tokens (50% discount). SpaceXAI: Grok Build 0.1 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 | SpaceXAI: Grok Build 0.1 | Meta: Llama 3.2 3B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | x-ai/grok-build-0.1 | meta-llama/llama-3.2-3b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $2 | $0.05 / $0.33 | Meta: Llama 3.2 3B Instruct |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.025/1M (50% Off) | Meta: Llama 3.2 3B Instruct |
| Context Window / Max Output | 250K In / 225K Out | 128K In / 115K Out | SpaceXAI: Grok Build 0.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | SpaceXAI: Grok Build 0.1 (-0ms) |
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
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summariza
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 SpaceXAI: Grok Build 0.1 to Meta: Llama 3.2 3B Instruct
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summariza Verified P90 latency of 280ms.