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A model entry point for the next idea

Good models,
save up to 70%.

See reference prices and current sale prices together. Choose a model from one entry point and keep building with familiar tools.

View model pricing

Usage based billing · Prices follow the current platform configuration

Compare the same model at the same tier✦

What are you building today?

GPT-6.1 SolOpenAI · available model
Reference price → sale priceSave up to 70%
Reference price
$2.00/M
→
Sale price
$0.600/M from
Save up to 70% versus reference

Displayed base rates; final charges are settled by request usage and applicable conditions.

One entry point, more possibilities
Familiar model ecosystems, one connection path
OpenAIAnthropic

Same model, visible price differences.

Start with the task, then read capabilities, limits, and every billing item.

Browse all models
Models with reference prices, sale prices, and discounts
ModelReference price → sale priceDiscount and details
GPT-6.1 SolOpenAI · 1.1M context
Reference price → sale price
Input$2/M→$0.6/M from
Output$10/M→$3/M from

Input$2/M→$0.6/M from
Output$10/M→$3/M from
Cached read$0.1/M→$0.03/M from
Cache write 5m$2.5/M→$0.75/M from
Save up to 70%View details
GPT-6 SolOpenAI · 1.1M context
Reference price → sale price
Input$2/M→$0.6/M from
Output$10/M→$3/M from

Input$2/M→$0.6/M from
Output$10/M→$3/M from
Cached read$0.2/M→$0.06/M from
Cache write 5m$2.5/M→$0.75/M from
Save up to 70%View details
GPT-6 LunaOpenAI · 1.1M context
Reference price → sale price
Input$0.1/M→$0.03/M from
Output$0.5/M→$0.15/M from

Input$0.1/M→$0.03/M from
Output$0.5/M→$0.15/M from
Cached read$0.01/M→$0.003/M from
Cache write 5m$0.125/M→$0.0375/M from
Save up to 70%View details
Claude Sonnet 4.5Anthropic · 200K context
Reference price → sale price
Input$3/M→$0.9/M from
Output$15/M→$4.5/M from

Input$3/M→$0.9/M from
Output$15/M→$4.5/M from
Cached read$0.3/M→$0.09/M from
Cache write 5m$3.75/M→$1.125/M from
Save up to 70%View details
Claude Haiku 5.5Anthropic · 1M context
Reference price → sale price
Input$0.1/M→$0.03/M from
Output$0.5/M→$0.15/M from

Input$0.1/M→$0.03/M from
Output$0.5/M→$0.15/M from
Cached read$0.01/M→$0.003/M from
Cache write 5m$0.125/M→$0.0375/M from
Save up to 70%View details
Claude Sonnet 5.5Anthropic · 1M context
Reference price → sale price
Input$2/M→$0.6/M from
Output$10/M→$3/M from

Input$2/M→$0.6/M from
Output$10/M→$3/M from
Cached read$0.1/M→$0.03/M from
Cache write 5m$2.5/M→$0.75/M from
Save up to 70%View details
Claude Opus 5.5Anthropic · 1M context
Reference price → sale price
Input$4/M→$1.2/M from
Output$20/M→$6/M from

Input$4/M→$1.2/M from
Output$20/M→$6/M from
Cached read$0.2/M→$0.06/M from
Cache write 5m$5/M→$1.5/M from
Save up to 70%View details
GPT-5.6 SolOpenAI · 1.1M context
Reference price → sale price
Input$4/M→$1.2/M from
Output$20/M→$6/M from

Input$4/M→$1.2/M from
Output$20/M→$6/M from
Cached read$0.4/M→$0.12/M from
Cache write 5m$5/M→$1.5/M from
Save up to 70%View details
GPT-5.6 LunaOpenAI · 1.1M context
Reference price → sale price
Input$0.2/M→$0.06/M from
Output$1.2/M→$0.36/M from

Input$0.2/M→$0.06/M from
Output$1.2/M→$0.36/M from
Cached read$0.02/M→$0.006/M from
Cache write 5m$0.25/M→$0.075/M from
Save up to 70%View details
gpt-image-2OpenAI
Reference price → sale price
Input$5/M→$2/M from
Output$30/M→$12/M from

Input$5/M→$2/M from
Output$30/M→$12/M from
Cached read$1.25/M→$0.5/M from
Save up to 60%View details

Only channel-mapped prices use “from” and “as low as”; fixed prices retain their tier and conditions, and final charges still follow request usage. Displayed base rates; final charges are settled by request usage and applicable conditions.

Connect to your way of working.

Keep your tools and follow the connection path for the current model and protocol.

Read the getting started guide
Claude CodeTerminal codingCodexCode and agentsCursorAI editorOpenAI SDKApplication development

From one idea, to the first request.

Choose a model first, then use its matching connection example. Text, image, and video follow different protocol paths.

1Choose a model for the taskReview capabilities, units, and limits.
2Create a personal API keyCreate a key in the console and store it carefully.
3Copy the example and buildUse the matching protocol and review usage afterward.
request.sh
curl https://api.starmodel.ai/v1/chat/completions \
  -H "Authorization: Bearer $STARMODEL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6.1-sol",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

The example shows request structure only and does not send a request; use the docs for current parameters.

Pricing is more than one number.

Input, output, and generation charges are separated with clear units for tokens, images, and seconds.

Connect according to the model.

Each modality has a matching entry point. Review parameters and limits before bringing a request into your app.

Choose with clear information.

Capabilities and service boundaries are stated plainly. Check data handling and usage rules before connecting.

Before you start, you may be wondering.

Clear answers for connection, pricing, and service boundaries.

Read the getting started guide

Give the next step to your creativity.

Start with model selection, pricing, and the matching connection example.

View model pricing
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