Ibm-granite model
Granite 4.2 8B API cost calculator
Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens on the Ibm-granite API, with a 131K-token context window. A typical request (2K input, 500 output tokens) costs $0.0002 — about $7.35/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on Granite 4.2 8B
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.0001 | $0.11 |
| RAG query with context | 4,000 / 500 | $0.0004 | $0.36 |
| Document summarization | 20,000 / 1,000 | $0.0014 | $1.45 |
| Agent coding session | 100,000 / 5,000 | $0.0073 | $7.25 |
Granite 4.2 8B vs other Ibm-granite models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Granite 4.2 8B | $0.06 | $0.25 | 131K |
| Granite 4.0 Micro | $0.02 | $0.11 | 131K |
Frequently asked questions
How much does Granite 4.2 8B cost per 1M tokens?
According to current pricing data, Granite 4.2 8B costs $0.06 per 1M input tokens and $0.25 per 1M output tokens. Processing 1M tokens each way costs $0.31.
What does a typical API request to Granite 4.2 8B cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.0002. At 1,000 requests per day that is $0.24 daily, or about $7.35 per month.
What is Granite 4.2 8B's context window?
Granite 4.2 8B supports a 131K-token context window (131,072 tokens).
Does Granite 4.2 8B support prompt caching?
Yes. Cached input tokens cost $0.01 per 1M — a 75% discount versus the standard input rate, which matters for agents and chat apps that resend the same system prompt.
What is a cheaper alternative to Granite 4.2 8B?
Granite 4.0 Micro from Ibm-granite is currently the cheapest comparable option at $0.02 per 1M input tokens versus $0.06 for Granite 4.2 8B — roughly 4x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Granite 4.2 8B vs Granite 4.0 Micro pricing, or run Granite 4.2 8B head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.