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GPT-6.1 Terra

openai/gpt-6.1-terra

newreasoningtool callingfile inputimage inputprompt caching
OpenRouter + LiveBenchAll modelsFull leaderboard

GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens with a 1.1M-token context window.

A reasoning, tool-calling model from openai, released Oct 26, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$1.00
Output / 1M
$5.00
Context
1.1M
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$1.00
Output price

USD per 1M completion tokens, reasoning included

$5.00
Blended price

3:1 input:output — #96 most expensive of 354 listed models

$2.00
Cached input read

Blank means not priced separately — not free

$0.050
Cache write$1.25
Context window1,050,000 tokens
Max output128,000 tokens
Input modalitiesfile, image, text
Tool callingYes
Extended reasoningYes
Knowledge cutoff—
ListedOct 26, 2026
All OpenAI API pricing

Also listed as openai/gpt-6.1-terra:batch ($1.00 blended)— the same model at a different price or rate limit.

What GPT-6.1 Terra costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$571.60/mo
RAG assistant

8K in / 600 out × 100K requests

$720.00/mo
Coding agent

40K in / 4K out × 20K requests

$668.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$1,328/mo
Bulk classification

500 in / 20 out × 5M requests

$2,525/mo
Price your own workload

GPT-6.1 Terra FAQ

How much does GPT-6.1 Terra cost?

GPT-6.1 Terra lists at $1.00 per 1M input tokens and $5.00 per 1M output tokens, with cached input reads at $0.050 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $720.00 at list price.

What is the context window of GPT-6.1 Terra?

GPT-6.1 Terra accepts up to 1,050,000 tokens of context and can return up to 128,000 output tokens per response.

Does GPT-6.1 Terra support tool calling?

Yes — GPT-6.1 Terra supports tool (function) calling and exposes extended reasoning. It accepts file, image, text input.

How does GPT-6.1 Terra score on benchmarks?

LiveBench has not published a run for GPT-6.1 Terra yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for GPT-6.1 Terra?

On OpenRouter the model ID is "openai/gpt-6.1-terra". It was listed on Oct 26, 2026.

More from openai

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranks — LiveBench release —. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.