LiteLLMModels

GPT-5.6 Terra vs GPT-6.1 Terra

As of October 27, 2026, GPT-5.6 Terra costs 100% more per input token than GPT-6.1 Terra ($2.00 vs $1.00 per 1M), and both have a 922K-token context window.

Prices from LiteLLM's price fileChecked

GPT-5.6 Terra vs GPT-6.1 Terra side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of October 27, 2026.
GPT-5.6 TerraGPT-6.1 Terra
Input, per 1M tokens$2.00$1.00
Output, per 1M tokens$12.00$5.00
Cache read, per 1M tokens$0.20$0.05
Cache write, per 1M tokens$2.50$1.25
Context window922,000 tokens922,000 tokens
Max output128,000 tokens128,000 tokens
Image inputYesYes
Tool callingYesYes
Structured output (JSON)YesYes
Prompt cachingYesYes
ReasoningYesYes
Providers on LiteLLM94
Price shown is fromOpenAIOpenAI
Added to LiteLLMJuly 9, 2026October 26, 2026

Cheapest provider for each

When to pick which

Pick GPT-5.6 Terra for

  • Available from 9 providers through LiteLLM, vs 4.

Pick GPT-6.1 Terra for

  • Costs 50% less per input token: $1.00 vs $2.00 per 1M.

From differences in the data above only; where the data is equal, no reason is given.

Call GPT-5.6 Terra or GPT-6.1 Terra with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK
from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# GPT-5.6 Terra
response = completion(model="gpt-5.6-terra", messages=messages)

# GPT-6.1 Terra
response = completion(model="gpt-6.1-terra", messages=messages)

# GPT-5.6 Terra, falling back to GPT-6.1 Terra if the call fails
response = completion(model="gpt-5.6-terra", messages=messages, fallbacks=["gpt-6.1-terra"])

FAQ

Which is cheaper, GPT-5.6 Terra or GPT-6.1 Terra?

GPT-6.1 Terra is cheaper at 3 input tokens per output token: $2.00 per 1M tokens blended ($1.00 input, $5.00 output), versus $4.50 ($2.00 and $12.00) for GPT-5.6 Terra, as of October 27, 2026.

Which has the larger context window, GPT-5.6 Terra or GPT-6.1 Terra?

Both have a 922,000-token context window.

Can I switch from GPT-5.6 Terra to GPT-6.1 Terra without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-5.6-terra" to "gpt-6.1-terra", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.