Model comparison

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GPT-6.1 Terra vs GPT 5.6 Terra

Two OpenAI models, compared on listed price, real workload cost, context and capabilities.

The short answer

  • GPT-6.1 Terra lists lower input and output prices.
  • GPT-6.1 Terra reads cached input for less ($0.05/M against GPT 5.6 Terra's $0.2/M), which decides the bill for agents that resend long context.

Side-by-side specs

SpecGPT-6.1 TerraGPT 5.6 Terra
ProviderOpenAIOpenAI
Input price$1/M$2/M
Output price$5/M$12/M
Cached input$0.05/M$0.2/M
Blended price (3:1)$2/M$4.5/M
Context window1M tokens1M tokens
Max output128k tokens128k tokens
InputText, ImagesText, Images
Structured outputYesYes
WeightsClosedClosed
ReleasedOctober 26, 2026—
AvailabilityLiveRetires 10 November 2026

Same work, both models

WorkloadGPT-6.1 TerraGPT 5.6 Terra
One chat reply3,000 tokens in, 500 outGPT 5.6 Terra costs 2.2× as much as GPT-6.1 Terra$0.0055$0.01
Summarise a 100-page report50,000 tokens in, 1,500 out, one requestGPT 5.6 Terra costs 2.1× as much as GPT-6.1 Terra$0.06$0.12
1,000 classification calls500 tokens in, 20 out, per call$0.60$1.24
Coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache$2.30$4.72
Same session, cached85% of input read from the prompt cache, the rest written to itGPT 5.6 Terra costs 2.4× as much as GPT-6.1 Terra$0.76$1.81

At listed rates. Token counts are typical sizes, not measurements.

GPT-6.1 Terra pricing notes

  • 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).

GPT 5.6 Terra pricing notes

  • Once a request passes 272K input tokens, the whole request bills at 2x input and cache rates and 1.5x output; the listed price is the standard rate.
  • Cache writes bill at $2.50 per 1M tokens (1.25x input); cache reads at $0.20 per 1M (0.1x input).

When to pick which

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.

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

Skip it if

  • GPT-6 Luna at $0.10 / $0.50 covers your workload
  • your prompts often pass 272K input tokens; the whole request then bills higher

GPT 5.6 Terra

The middle tier of OpenAI's GPT-5.6 family (Sol, Terra, Luna), which OpenAI positions for workloads that balance intelligence and cost. Sol and Luna are retired here; GPT-6.1 Sol matches its input price with cheaper output.

Pick it if

  • you want the tier OpenAI called GPT-5.5-competitive at 2x lower cost
  • your prompts repeat: cached input bills at $0.20 per million
  • you need image input and up to 128K output tokens

Skip it if

  • output dominates your bill: GPT-6.1 Sol charges $10 versus $12
  • prompts routinely pass 272K tokens, where every rate in the request rises

FAQ

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

GPT-6.1 Terra lists lower input and output prices. On a coding-agent session (2M tokens in, 60,000 out) GPT-6.1 Terra costs $2.30 and GPT 5.6 Terra $4.72.

Can I switch between GPT-6.1 Terra and GPT 5.6 Terra mid-task?

Yes. In an Octomind session, /model octohub:gpt-6.1-terra and /model octohub:gpt-5.6-terra switch models without losing the conversation, so you can draft on one and review on the other.

Try either model

Switch between models inside the same Octomind session.

Prices from the catalog of 2026-10-27