Olmo 3 32B Think
by Allen Institute · allenai/olmo-3-32b-think · #71 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:38 AM UTC · refreshed hourly
Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...
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Pricing
Input
$0.15
per 1M tokens
Output
$0.50
per 1M tokens
Blended (3:1)
$0.237
3 input : 1 output
Cache read
—
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Olmo 3 32B Think (no cache-read rate published — hits billed as normal input).
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.237 | $0.0158 | — |
| 50% | $0.237 | $0.0158 | −0% |
| 90% | $0.237 | $0.0158 | −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 | $0.000225 | $0.225 |
| Document summary | 8,000 | 1,000 | $0.0017 | $1.70 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0055 | $5.50 |
| Long-context analysis | 150,000 | 5,000 | $0.025 | $25.00 |
Specs
Context window
66K
tokens
Max output
66K
tokens
Input modalities
text
Tokenizer
Other