A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
GPT-6.1 Terra API pricing (October 2026)
Prompts over 272K tokens bill the whole request at 2x input and cache rates and 1.5x output ($2 in / $7.50 out).
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- OpenAI
- Context window
- 1.1M tokens
- Max output
- 128K tokens
- Tier
- Workhorse
- Status
- GA
- Blended $/1M (3:1)
- $2.00
- Cache break-even, caching each turn
- 21%
- Prices verified
- 30 Oct 2026
Source: OpenAI pricing. Finitizer is not affiliated with OpenAI.
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Frequently asked questions
How much does GPT-6.1 Terra cost per 1M tokens?
GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens at OpenAI list prices. Output is 5.0x the input rate, so the input:output ratio of a workload drives the real cost more than the headline price.
Does GPT-6.1 Terra support prompt caching?
Yes. Cached input is billed at $0.050 per million tokens, 20x cheaper than uncached input. Cache writes carry a premium, so caching that writes every turn (chat history, agent steps) only pays above roughly a 21% hit rate. A shared prompt reused within a few minutes pays at almost any hit rate.
What is the batch discount for GPT-6.1 Terra?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.500 and output to $2.50 per million tokens.
What is GPT-6.1 Terra's context window?
1.1M tokens of context with up to 128K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running GPT-6.1 Terra in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See Finitizer Tokenomics