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OpenAI pricingGPT-6.1 Terra Pricing
GPT-6.1 Terra costs half as much as GPT-6.1 Sol per token, which makes it the first model to test when Sol is more than a task needs.
GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. 1,000 typical requests cost about $4.00.
GPT-6.1 Terra API pricing
| Price type | Now (USD per 1M tokens) |
|---|---|
| Input | $1.00 |
| Cached input | $0.05 |
| Output | $5.00 |
| Batch input | $0.50 |
| Batch output | $2.50 |
Short-context prices, for up to 272K input tokens.
What GPT-6.1 Terra costs in practice
Take a typical request with 2,000 input tokens and 400 output tokens. On GPT-6.1 Terra:
- 1,000 requests cost $4.00 at standard prices.
- 1 million requests a month cost $4,000.
- If half of each prompt is read from cache, 1,000 requests cost $3.05.
- On the Batch API, with the same caching, they cost $1.52.
Cost calculator
Uses GPT-6.1 Terra's standard prices checked October 30, 2026. Cache writes, thinking tokens and long-context tiers aren't included.
How to pay less for GPT-6.1 Terra
- Cached input costs $0.05 instead of $1.00: keep system prompts, tools and documents at the start of the prompt so they cache.
- Batch halves the price of work no one is waiting on.
- Model choice: test cheaper GPT-6 models on the requests that don't need this one.
apicuts switches these on for you, routes each request to the lowest-cost route that passes your quality checks, and guarantees at least 20% lower cost after our fee. See pricing.
Compare GPT-6.1 Terra
See every model side by side in the LLM API pricing comparison, or read Claude Sonnet 5.5 vs GPT-6.1 Terra.
Frequently asked questions
How much does GPT-6.1 Terra cost?
GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens at standard prices, according to OpenAI's API pricing page (checked October 30, 2026).
How much do 1,000 GPT-6.1 Terra requests cost?
About $4.00, for requests of 2,000 input and 400 output tokens without caching.
Is there a cheaper way to use GPT-6.1 Terra?
Yes: caching repeated prompt prefixes, moving work that can wait to the Batch API at half price, capping output length, and sending simpler requests to a cheaper model.
Sources: OpenAI's API pricing page. Checked October 30, 2026.
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