IBM's model for enterprise tasks: RAG, tool calling and strict JSON output. A good quality-to-cost balance for internal assistants.
| MMLU-Pro | 74 | |
|---|---|---|
| GPQA | 64.1 | |
| LiveCodeBench v6 | 73.2 |
Which GPU does Granite 4.2 8B need?
The entry configuration is 1x RTX4060TI, which delivers around 34 tokens per second. For more parallel requests and headroom on speed, go with 1x H200.
How much does Granite 4.2 8B cost?
An hour of Granite 4.2 8B runs from $0.40 to $8.20 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call Granite 4.2 8B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass granite4.2:8b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. Granite 4.2 8B runs on a dedicated GPU server inside a private environment: requests and responses never reach the model vendor and are not used for training.
What context window and license does Granite 4.2 8B have?
Granite 4.2 8B holds 32K tokens of context per request and ships under the Apache 2.0 license, so you can use it commercially on your own hosting terms.