OpenAI language model

GPT-6.1 Terra

OpenAI's GPT-6.1 Terra is a fast, efficient model for visual reasoning, precise computer use and natural writing. At $1 / $5 it costs half of GPT-6.1 Sol and sits above GPT-6 Luna; it replaces GPT-5.6 Terra.

01

Price

$1/M

Input tokens

$5/M

Output tokens

$0.05/M

Cached input

Per 1M tokens. Octomind bills the listed provider price, with no markup, on every plan, including the free one (pay as you go from credits).

  • Requests over 272K input tokens bill the entire request at 2x the input and cache rates and 1.5x the output rate; the listed price is the short-context rate.
  • Cache hits bill at $0.05 per 1M tokens; cache writes cost $1.25 (30-minute) or $2.50 (12-hour).

02

What real work costs

WorkloadCost
One chat reply 3,000 tokens in, 500 out $0.0055
Summarise a 100-page report 50,000 tokens in, 1,500 out, one request $0.06
1,000 classification calls 500 tokens in, 20 out, per call $0.60
Coding-agent session 2M tokens in across ~60 turns, 60,000 out, no cache $2.30
Same session, cached 85% of input read from the prompt cache, the rest written to it $0.76

At the listed rate. Token counts are typical sizes, not measurements.

03

Specs

Provider
OpenAI
Context window
1M tokens — ≈ 1,500 pages of prose or 100,000 lines of code
Max output
128k tokens
Input
Text, Images
Output
Text
Structured output
Yes — JSON schema
Reasoning mode
Yes
Prompt caching
Yes — cache hits at $0.05/M
Weights
Closed
Released
October 26, 2026
Knowledge cutoff
June 2026
Status
Live
Model ID
gpt-6.1-terra

Integration notes

  • reasoning.effort accepts none, low, medium (default), high, xhigh or max.
  • Tool calling requires the Responses API; Chat Completions works only without tools.
  • With reasoning effort other than none, temperature, top_p and top_logprobs must be removed.

04

When to pick it

Pick it if

  • your prompts mix text and images and you want half of GPT-6.1 Sol's token price
  • you resend long prompts; cache hits bill at 5% of input
  • you want reasoning switched off entirely; Terra accepts reasoning effort none

05

Where it sits on price

Blended price $2/M at 3 input tokens per output token: 26 live language models cost less, 17 cost more.

  1. Inkling $1.762/M
  2. DeepSeek V4 Pro $1.98/M
  3. GPT-6.1 Terra $2/M
  4. Muse Spark 1.3 $2/M
  5. Mistral Large 4 $2.065/M

06

Use GPT-6.1 Terra in Octomind

One OctoHub login reaches every model in the catalog. Pick this one per run, per session, or as your default.

Run it
octomind login
octomind run -m octohub:gpt-6.1-terra
Switch mid-session
/model octohub:gpt-6.1-terra
Make it the default — config.toml
[model]
name = "octohub:gpt-6.1-terra"

07

Compare GPT-6.1 Terra

All model comparisons →

08

Similar models

Nearest live models by listed input price.

View all models →

09

GPT-6.1 Terra FAQ

How much does GPT-6.1 Terra cost?

GPT-6.1 Terra lists at $1/M input, $5/M output, $0.05/M cached input per 1M tokens. A typical coding-agent session (2M tokens in, 60,000 out) comes to $2.30, or $0.76 when 85% of the input is read from the prompt cache. Octomind bills the listed provider price, with no markup, on every plan, including the free one (pay as you go from credits).

What is the context window of GPT-6.1 Terra?

1M tokens, ≈ 1,500 pages of prose or 100,000 lines of code. A single reply can run to 128k tokens.

Does GPT-6.1 Terra accept images?

Yes. It takes text and images as input and returns text.

Is GPT-6.1 Terra open source?

No. GPT-6.1 Terra is a closed-weights model, available only through OpenAI's API and hosted gateways such as OctoHub.

When was GPT-6.1 Terra released?

October 26, 2026, by OpenAI.

Is GPT-6.1 Terra free?

No. GPT-6.1 Terra bills per token at $1/M input, $5/M output, $0.05/M cached input per 1M. Octomind's free plan reaches it pay as you go from credits, so you pay only for the tokens you use, at the provider price. Credits carry a 3% top-up fee.

How do I use GPT-6.1 Terra in Octomind?

Run octomind login once, then octomind run -m octohub:gpt-6.1-terra. Inside a running session, /model octohub:gpt-6.1-terra switches to it without losing context.

Use GPT-6.1 Terra in Octomind

Choose a model when you start, then switch mid-session when the work changes.