Olmo 3 7B Think API Pricing
As of October 10, 2026, Olmo 3 7B Think is free to use on PublicAI. It has a 32,768-token context window and returns up to 4,096 tokens per response.
- Price
- Free
- Context window
- 32,768 tokens
- Max output
- 4,096 tokens
- Providers
- 1
- Added to LiteLLM
- December 2025
Olmo 3 7B Think pricing by provider
1 listing across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| PublicAI | publicai/allenai/Olmo-3-7B-Think | $0 | $0 | 32K |
What Olmo 3 7B Think costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| PublicAI | $0 |
Olmo 3 7B Think features
- Function calling
- Reasoning
Use Olmo 3 7B Think with LiteLLM
Call Olmo 3 7B Think through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.
from litellm import completion
response = completion(
model="publicai/allenai/Olmo-3-7B-Think",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: olmo-3-7b-think
litellm_params:
model: publicai/allenai/Olmo-3-7B-Think
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "olmo-3-7b-think",
"messages": [{"role": "user", "content": "Hello!"}]
}'Olmo 3 7B Think FAQ
How much does Olmo 3 7B Think cost?
Olmo 3 7B Think is free to use on PublicAI.
What is the context window of Olmo 3 7B Think?
Olmo 3 7B Think has a 32,768-token context window and returns up to 4,096 tokens per response.
Which providers offer Olmo 3 7B Think?
Olmo 3 7B Think is available from PublicAI through LiteLLM, using the model name publicai/allenai/Olmo-3-7B-Think.
How do I call Olmo 3 7B Think with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="publicai/allenai/Olmo-3-7B-Think", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.
What features does Olmo 3 7B Think support?
Olmo 3 7B Think supports function calling and reasoning.
When did LiteLLM add Olmo 3 7B Think?
Olmo 3 7B Think was added to LiteLLM's model price file in December 2025.
Sources
Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request. Provider pricing pages:
LiteLLM docs: PublicAI.
Provider pages: PublicAI.
