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GPT-6.1 Terra: price, context window and capabilities

Prices updated 1 Nov 2026

GPT-6.1 Terra is a model from OpenAI (openai/gpt-6.1-terra). It supports reasoning. It supports tool use. It costs $1.00 per million input tokens and $5.00 per million output tokens, with a 1.1M-token context window.

$1.00input / 1M tokens
$5.00output / 1M tokens
1.1Mcontext window
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What it costs in practice

Using the listed prices: a chat turn of 2,000 input and 500 output tokens costs about $0.0045, so 10,000 such turns cost about $45.00. Summarising a 100,000-token document into 2,000 tokens costs about $0.110. A long agent run that reads 1 million tokens and writes 50,000 costs about $1.25.

GPT-6.1 Terra compared with its closest rivals

ModelInput / 1MOutput / 1MContextChat turn
GPT-6.1 Terra
OpenAI
$1.00$5.001.1M$0.0045
Qwen3.8 Max (0902)
Qwen (Alibaba)
$2.00$6.001M$0.0070
Grok 4.7
xAI
$2.00$6.00500K$0.0070
Grok 4.6
xAI
$2.00$6.00500K$0.0070

Rivals are the models from other providers with the same tool and reasoning support whose output price is closest to GPT-6.1 Terra's.

How it compares

Among the 40 models we track, GPT-6.1 Terra ranks #23 by input price and #23 by output price (1 is cheapest), and #2 by context window (1 is largest). Models with the same tool and reasoning support that cost less per output token: GLM 5.3 Flash ($0.158), DeepSeek V4 Flash 0731 ($0.238), Qwen3.8 Omni Flash ($0.470), Qwen3.8 Flash ($0.470). Models with a larger context window at the same or lower output price: Llama 4 Scout (1.3M).

More from OpenAI

All OpenAI models on one page: OpenAI API pricing.

In the news

Prices and limits come from OpenRouter's public model catalogue, last synced 1 Nov 2026. Provider pricing can differ from OpenRouter's and changes often; confirm on the provider's own page before you commit. See the guide to choosing a model or the full comparison.

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