IBM Granite Granite 3.2 2B Instruct vs NVIDIA Llama 3.3 Nemotron Super 49B V1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing IBM Granite Granite 3.2 2B Instruct (ibm-granite/granite-3.2-2b-instruct) vs NVIDIA Llama 3.3 Nemotron Super 49B V1 (nvidia/llama-3.3-nemotron-super-49b-v1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
IBM Granite Granite 3.2 2B Instruct (ibm-granite/granite-3.2-2b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for IBM Granite Granite 3.2 2B Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.002/1M) or route via asynchronous Batch API for 50% off standard token rates.
NVIDIA Llama 3.3 Nemotron Super 49B V1 (nvidia/llama-3.3-nemotron-super-49b-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA Llama 3.3 Nemotron Super 49B V1: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.01/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing IBM Granite Granite 3.2 2B Instruct (API ID: ibm-granite/granite-3.2-2b-instruct) vs NVIDIA Llama 3.3 Nemotron Super 49B V1 (API ID: nvidia/llama-3.3-nemotron-super-49b-v1), IBM Granite Granite 3.2 2B Instruct offers lower standard input pricing at $0.02/1M tokens ($0.06/1M output), while IBM Granite Granite 3.2 2B Instruct leads in cached prefix economics at $0.002/1M tokens (90% discount). IBM Granite Granite 3.2 2B Instruct achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.02/$0.06 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.1/$0.4 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | IBM Granite Granite 3.2 2B Instruct | NVIDIA Llama 3.3 Nemotron Super 49B V1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | ibm-granite/granite-3.2-2b-instruct | nvidia/llama-3.3-nemotron-super-49b-v1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.02 / $0.06 | $0.1 / $0.4 | IBM Granite Granite 3.2 2B Instruct |
| Cache Read Price (per 1M) | $0.002/1M (90% Off) | $0.01/1M (90% Off) | IBM Granite Granite 3.2 2B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | IBM Granite Granite 3.2 2B Instruct |
| P90 First-Token / Edge Latency | 195ms | 195ms | IBM Granite Granite 3.2 2B Instruct (-0ms) |
IBM Granite Granite 3.2 2B Instruct (ibm-granite/granite-3.2-2b-instruct): OpenRouter gateway-synced model at $0.02/1M input, $0.06/1M output, $0.002/1M cached input (128K context window).
NVIDIA Llama 3.3 Nemotron Super 49B V1
API ID: nvidia/llama-3.3-nemotron-super-49b-v1 • OpenRouter SyncedNVIDIA Llama 3.3 Nemotron Super 49B V1 (nvidia/llama-3.3-nemotron-super-49b-v1): OpenRouter gateway-synced model at $0.1/1M input, $0.4/1M output, $0.01/1M cached input (128K context window).
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 Granite 3.2 2B Instruct to NVIDIA Llama 3.3 Nemotron Super 49B V1
NVIDIA Llama 3.3 Nemotron Super 49B V1 (nvidia/llama-3.3-nemotron-super-49b-v1): OpenRouter gateway-synced model at $0.1/1M input, $0.4/1M output, $0.01/1M cached input (128K context window). Verified P90 latency of 195ms.