Ibm-granite model
Granite 4.0 Micro API cost calculator
Granite 4.0 Micro costs $0.02 per 1M input tokens and $0.11 per 1M output tokens on the Ibm-granite API, with a 131K-token context window. A typical request (2K input, 500 output tokens) costs <$0.0001 — about $2.70/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 4.0 Micro
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | <$0.0001 | $0.04 |
| RAG query with context | 4,000 / 500 | $0.0001 | $0.12 |
| Document summarization | 20,000 / 1,000 | $0.0005 | $0.45 |
| Agent coding session | 100,000 / 5,000 | $0.0023 | $2.26 |
Granite 4.0 Micro vs other Ibm-granite models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| Granite 4.0 Micro | $0.02 | $0.11 | 131K |
| Granite 4.1 8B | $0.05 | $0.10 | 131K |
Frequently asked questions
How much does Granite 4.0 Micro cost per 1M tokens?
According to current pricing data, Granite 4.0 Micro costs $0.02 per 1M input tokens and $0.11 per 1M output tokens. Processing 1M tokens each way costs $0.13.
What does a typical API request to Granite 4.0 Micro cost?
A typical request with 2,000 input tokens and 500 output tokens costs <$0.0001. At 1,000 requests per day that is $0.09 daily, or about $2.70 per month.
What is Granite 4.0 Micro's context window?
Granite 4.0 Micro supports a 131K-token context window (131,000 tokens).
Does Granite 4.0 Micro support prompt caching?
No cache-read pricing is published for Granite 4.0 Micro, so every input token is billed at the full $0.02 per 1M rate.
What is a cheaper alternative to Granite 4.0 Micro?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $0.02 for Granite 4.0 Micro — roughly 2x cheaper on input.
Compare all current prices on the live model pricing dashboard, see Granite 4.0 Micro vs Ling-2.6-flash pricing, or run Granite 4.0 Micro head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.