IBM: Granite 4.0 Micro vs Meta Llama 4 Scout: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing IBM: Granite 4.0 Micro (ibm-granite/granite-4.0-h-micro) vs Meta Llama 4 Scout (llama-4-scout). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
IBM: Granite 4.0 Micro (ibm-granite/granite-4.0-h-micro) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for IBM: Granite 4.0 Micro: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0085/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta Llama 4 Scout (llama-4-scout) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama 4 Scout: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing IBM: Granite 4.0 Micro (API ID: ibm-granite/granite-4.0-h-micro) vs Meta Llama 4 Scout (API ID: llama-4-scout), IBM: Granite 4.0 Micro offers lower standard input pricing at $0.017/1M tokens ($0.112/1M output), while IBM: Granite 4.0 Micro leads in cached prefix economics at $0.0085/1M tokens (50% discount). Meta Llama 4 Scout achieves a 140ms faster P90 time-to-first-token latency (140ms vs 280ms).
Auto-discovered via live global telemetry registry.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | IBM: Granite 4.0 Micro | Meta Llama 4 Scout | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | ibm-granite/granite-4.0-h-micro | llama-4-scout | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.017 / $0.112 | $0.45 / $0.65 | IBM: Granite 4.0 Micro |
| Cache Read Price (per 1M) | $0.0085/1M (50% Off) | $0.225/1M (50% Off) | IBM: Granite 4.0 Micro |
| Context Window / Max Output | 128K In / 115K Out | 400K In / 128K Out | Meta Llama 4 Scout |
| P90 First-Token / Edge Latency | 280ms | 140ms | Meta Llama 4 Scout (-140ms) |
Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...
Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters.
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 IBM: Granite 4.0 Micro to Meta Llama 4 Scout
Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters. Verified P90 latency of 140ms.