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GPT-6.1 Terra API Pricing & Cost Calculator

GPT-6.1 Terra costs $1.00 input / $5.00 output per 1M tokens — half of GPT-6.1 Sol, ten times GPT-6 Luna ($0.10/$0.50) — and OpenAI aims it at visual reasoning, precise computer use and natural writing: matching product photos to catalogue entries, reading technical drawings, acting on app screens. OpenAI doesn't say where it ranks against Sol on general reasoning, so test before swapping it in for Sol. Prompts over 272K tokens cost $2.00/$7.50; cache writes $1.25/1M; cached input $0.05; Batch $0.50/$2.50. Knowledge cutoff June 2026, the latest in the GPT-6 family. A 1,000-in / 500-out call costs $0.00350.

Input
$1.00
per 1M tokens
Output
$5.00
per 1M tokens
Context window
922K
tokens
Released
2026-10
Cutoff 2026-06
✓ Exact tokenizer·$1.00 in·$5.00 out (per 1M)
Quick start with a use case
Total cost per call$0.003500
Input$0.001000
Output$0.002500
Cost comparison
Standard
$0.003500
With Caching
$0.003025
Save 14% ↓
With Batch
$0.001750
Save 50% ↓
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

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Detailed pricing

GPT-6.1 Terra pricing breakdown

All pricing dimensions including caching and batch discounts.

TypePrice (per 1M tokens)
Input$1.0000
Output$5.0000
Cached input$0.0500
Cache write$1.2500
Batch input$0.5000
Batch output$2.5000
Cutting costs? Open models start at $0.28/1M

DeepSeek, Kimi & 200+ open models on Novita AI — often 5–20x cheaper than proprietary APIs for comparable tasks.

Try Novita AI

Affiliate link — we may earn a commission at no extra cost to you.

Last verified 2026-10-31 · OpenAI official pricing · ⚠️ Spotted a wrong price? Report in 30s →

How it compares

GPT-6.1 Terra vs alternatives

Single-call cost (1000 input + 500 output tokens) ranked from cheapest.

ModelPer call
GPT-6.1 Terra
OpenAI · this page
$0.003500
GPT-6 Luna
OpenAI
$0.000350
Claude Haiku 5.5
Anthropic
$0.000350
DeepSeek V3.2
DeepSeek
$0.000480
GPT-5.6 Luna
OpenAI
$0.000800
DeepSeek V4-Flash
DeepSeek
$0.000900
Recommended use

When to choose GPT-6.1 Terra

GPT-6.1 Terra shines for general-purpose tasks, image and document understanding, operating apps and screens, drafting and editing text, and long documents and large codebases. Token counts on this page are exact via the official tokenizer.

✓Context window of 922K tokens handles long conversations and large documents.
✓Prompt caching available — significant savings for repeated system prompts.
✓Batch API support for non-realtime workloads at ~50% discount.
✓Tool / function calling supported.
FAQ

Frequently asked questions

GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. A typical chat call (1000 input + 500 output tokens) costs approximately $0.0035. Use the calculator above to estimate your specific use case.
GPT-6.1 Terra supports a 922K token context window with a max output of 128,000 tokens. Knowledge cutoff: 2026-06.
Yes. Cached input is priced at $0.05 per 1M tokens — 95% cheaper than uncached input. This is especially valuable for repeated system prompts, long-context retrieval, and chat threads with shared history.
Yes. GPT-6.1 Terra supports the Batch API at $0.50 input / $2.50 output per 1M tokens — typically 50% off standard pricing. Batch jobs complete within ~24 hours, ideal for non-realtime workloads like overnight data processing or content generation pipelines.
Yes, GPT-6.1 Terra accepts image input. Vision token pricing is generally calculated based on image dimensions and folded into the input token count. Specific image-specific pricing varies — refer to OpenAI's official documentation.
Token counts for GPT-6.1 Terra use the official o200k_base tokenizer (exact). Cost calculations use the prices verified on 2026-10-31. For final billing accuracy, always verify with OpenAI's usage dashboard.
GPT-6.1 Terra does not currently support fine-tuning. Consider another model in the OpenAI family if fine-tuning is required.
Related

Other models you might consider

OpenAI
GPT-6 Luna
The cheapest model on this site — with a 922K context window
$0.10 in$0.50 out
Anthropic
Claude Haiku 5.5
$0.10/$0.50 — but only for prompts up to 100K tokens
$0.10 in$0.50 out
DeepSeek
DeepSeek V3.2
DeepSeek's open-weight MoE — top cost/quality ratio
$0.28 in$0.40 out
OpenAI
GPT-5.6 Luna
The cheapest long-context model OpenAI ships — 20x under the flagship
$0.20 in$1.20 out
DeepSeek
DeepSeek V4-Flash
1M context at budget pricing — $0.30/$1.20
$0.30 in$1.20 out