IBM Granite Granite 3.1 2B Instruct vs 01.AI Yi Large: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing IBM Granite Granite 3.1 2B Instruct (ibm-granite/granite-3.1-2b-instruct) vs 01.AI Yi Large (01-ai/yi-large). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
IBM Granite Granite 3.1 2B Instruct (ibm-granite/granite-3.1-2b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for IBM Granite Granite 3.1 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.
01.AI Yi Large (01-ai/yi-large) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for 01.AI Yi Large: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.08/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing IBM Granite Granite 3.1 2B Instruct (API ID: ibm-granite/granite-3.1-2b-instruct) vs 01.AI Yi Large (API ID: 01-ai/yi-large), IBM Granite Granite 3.1 2B Instruct offers lower standard input pricing at $0.02/1M tokens ($0.06/1M output), while IBM Granite Granite 3.1 2B Instruct leads in cached prefix economics at $0.002/1M tokens (90% discount). IBM Granite Granite 3.1 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 ($0.8/$0.8 per 1M, flat 32K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
| Specification / FinOps Dimension | IBM Granite Granite 3.1 2B Instruct | 01.AI Yi Large | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | ibm-granite/granite-3.1-2b-instruct | 01-ai/yi-large | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.02 / $0.06 | $0.8 / $0.8 | IBM Granite Granite 3.1 2B Instruct |
| Cache Read Price (per 1M) | $0.002/1M (90% Off) | $0.08/1M (90% Off) | IBM Granite Granite 3.1 2B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 32K In / 64K Out | IBM Granite Granite 3.1 2B Instruct |
| P90 First-Token / Edge Latency | 195ms | 195ms | IBM Granite Granite 3.1 2B Instruct (-0ms) |
IBM Granite Granite 3.1 2B Instruct (ibm-granite/granite-3.1-2b-instruct): OpenRouter gateway-synced model at $0.02/1M input, $0.06/1M output, $0.002/1M cached input (128K context window).
01.AI Yi Large (01-ai/yi-large): OpenRouter gateway-synced model at $0.8/1M input, $0.8/1M output, $0.08/1M cached input (32K 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 3.1 2B Instruct to 01.AI Yi Large
01.AI Yi Large (01-ai/yi-large): OpenRouter gateway-synced model at $0.8/1M input, $0.8/1M output, $0.08/1M cached input (32K context window). Verified P90 latency of 195ms.