IBM Granite Granite 3.2 8B Instruct vs Google Medgemma 27B It: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing IBM Granite Granite 3.2 8B Instruct (ibm-granite/granite-3.2-8b-instruct) vs Google Medgemma 27B It (google/medgemma-27b-it). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
IBM Granite Granite 3.2 8B Instruct (ibm-granite/granite-3.2-8b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for IBM Granite Granite 3.2 8B Instruct: Activate ephemeral prefix caching to slash input costs by 90% (down to 0.005/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google Medgemma 27B It (google/medgemma-27b-it) — Google AI Startup Credits ($350K) & 90% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
In Etuki October 2026 FinOps telemetry comparing IBM Granite Granite 3.2 8B Instruct (API ID: ibm-granite/granite-3.2-8b-instruct) vs Google Medgemma 27B It (API ID: google/medgemma-27b-it), IBM Granite Granite 3.2 8B Instruct offers lower standard input pricing at $0.05/1M tokens ($0.15/1M output), while IBM Granite Granite 3.2 8B Instruct leads in cached prefix economics at $0.005/1M tokens (90% discount). IBM Granite Granite 3.2 8B Instruct achieves a 0ms faster P90 time-to-first-token latency (195ms vs 195ms).
Gateway-synced rate ($0.05/$0.15 per 1M, flat 128K window). Verify upstream provider cache TTL and regional routing before high-volume batch runs.
Gateway-synced rate ($0.15/$0.3 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 8B Instruct | Google Medgemma 27B It | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | ibm-granite/granite-3.2-8b-instruct | google/medgemma-27b-it | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.15 | $0.15 / $0.3 | IBM Granite Granite 3.2 8B Instruct |
| Cache Read Price (per 1M) | $0.005/1M (90% Off) | $0.015/1M (90% Off) | IBM Granite Granite 3.2 8B Instruct |
| Context Window / Max Output | 128K In / 64K Out | 128K In / 64K Out | IBM Granite Granite 3.2 8B Instruct |
| P90 First-Token / Edge Latency | 195ms | 195ms | IBM Granite Granite 3.2 8B Instruct (-0ms) |
IBM Granite Granite 3.2 8B Instruct (ibm-granite/granite-3.2-8b-instruct): OpenRouter gateway-synced model at $0.05/1M input, $0.15/1M output, $0.005/1M cached input (128K context window).
Google Medgemma 27B It (google/medgemma-27b-it): OpenRouter gateway-synced model at $0.15/1M input, $0.3/1M output, $0.015/1M 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 8B Instruct to Google Medgemma 27B It
Google Medgemma 27B It (google/medgemma-27b-it): OpenRouter gateway-synced model at $0.15/1M input, $0.3/1M output, $0.015/1M cached input (128K context window). Verified P90 latency of 195ms.