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
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
- anthropic/claude-opus-5-5$4.00 / $20.00compare →
- moonshotai/kimi-k3.1-pro$2.00 / $10.00compare →
- google/gemini-4-argon$2.00 / $10.00compare →
- meta/muse-wonder$4.00 / $20.00compare →
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.
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.
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.
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