GPT-6.1 Terra

GPT-6.1 Terra is OpenAI's fast, efficient mid-tier model in the GPT-6.1 family, sitting beneath GPT-6.1 Sol.

input · usd / 1m tok

$1.00

output · usd / 1m tok

$5.00

context window

1.05mtokens

modalities · in → out

takes text and image in, gives text out

pricing

base api ratesusd per 1m tokens

input
$1.00over 272k · $2.00
output
$5.00over 272k · $7.50
cache read
$0.05over 272k · $0.10
cache write · default ttl
$1.25over 272k · $2.50

brackets are by input tokens per request: a request over a threshold is billed at that bracket's rates for all of its tokens. cache creation can have a separate charge.

providers

OpenAI hosts GPT-6.1 Terra. Impossibl routes your request intelligently and handles failover automatically when a provider is down.

  • OpenAI

specifications

takes text and image in, gives text outopenai/gpt-6.1-terra

  • creatorOpenAI
  • model typeText generation
  • context window1,050,000 tokens
  • maximum outputnot published
  • input

    takes text and image in, gives text out

  • outputtext
  • tool callingnot verified
  • releasedoct 26, 2026
  • endpoint/v1/chat/completions

unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.

try it · your prompt, this model, live

# responses API
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["IMPOSSIBL_API_KEY"],
    base_url="https://api.impossibl.com/v1",
)

resp = client.responses.create(
    model="openai/gpt-6.1-terra",
    input="",
)
print(resp.output_text)

edit the prompt, then run

benchmarks

intelligence index

48.1#11 of 114 models on the gateway

  • Intelligence Index48.11
  • legal index (API)49
  • economics index (API)53.6
  • engineering index (API)49.1
  • intelligence index (API)48.1
  • strategy and ops index (API)49.5
  • finance and accounting index (API)47.1

view source ↗all source data and breakdowns (json) ↗

each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-26.

compare GPT-6.1 Terra with other models

frontier labs and open weights, best-ranked firstusd / 1m tok · in / out

impossibl models --all →

frequently asked questions

What is GPT-6.1 Terra?

GPT-6.1 Terra is OpenAI's fast, efficient mid-tier model in the GPT-6.1 family, sitting beneath GPT-6.1 Sol. It targets visual reasoning, precise computer use and clear, natural writing, and revives the Terra tier that balanced capability and cost between Sol and Luna in the GPT-5.6 generation.

How much does GPT-6.1 Terra cost?

GPT-6.1 Terra costs $1.00 per million input tokens and $5.00 per million output tokens through the Impossibl API. Cache reads cost $0.05 per million tokens; cache writes cost $1.25 per million tokens. These base rates apply through 272,000 total input tokens per request. Above 272,000 input tokens, the long-context rates in the pricing table apply to the whole request. All rates are in USD.

view the pricing table ↑

What is the context length of GPT-6.1 Terra?

GPT-6.1 Terra has a 1,050,000-token context window through the Impossibl API.

What inputs and outputs does GPT-6.1 Terra support?

GPT-6.1 Terra accepts text and image as input. GPT-6.1 Terra returns text.

How do I use GPT-6.1 Terra through an API?

GPT-6.1 Terra is available through the Impossibl API. Use openai/gpt-6.1-terra as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.

follow the api quickstart →

When was GPT-6.1 Terra released?

OpenAI released GPT-6.1 Terra on October 26, 2026.

this page describes GPT-6.1 Terra as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.

view the source catalog ↗model as markdown ↗report a correction →