Granite 4.1 8B
by Ibm Granite · ibm-granite/granite-4.1-8b · #18 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:32 AM UTC · refreshed hourly
Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.05
per 1M tokens
Output
$0.10
per 1M tokens
Blended (3:1)
$0.063
3 input : 1 output
Cache read
$0.05
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Granite 4.1 8B with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.063 | $0.0052 | — |
| 50% | $0.063 | $0.0052 | −0% |
| 90% | $0.063 | $0.0052 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $5.50e-5 | $0.055 |
| Document summary | 8,000 | 1,000 | $0.0005 | $0.5 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0017 | $1.70 |
| Long-context analysis | 150,000 | 5,000 | $0.008 | $8.00 |
Performance
Intelligence Index
—
AA composite quality
Coding Index
9.5
Math Index
—
Agentic Index
—
Output speed
—
median
Time to first token
—
median
Time to first answer
—
after reasoning tokens
Specs
Context window
131K
tokens
Max output
131K
tokens
Input modalities
text
Tokenizer
Other