gpt-6.1-terraGPT-6.1 Terra is the Terra-tier model in OpenAI's GPT-6.1 line, released in October 2026. OpenAI positions it as a fast, efficient model for visual reasoning, computer use and natural-sounding writing. On APIMODELS it costs $0.50 per 1M input tokens and $2.50 per 1M output — exactly half OpenAI's $1 / $5 list, which is itself half of GPT-6.1 Sol's $2 / $10 — with cached input at $0.025. OpenAI reports 50.3% on Terminal-Bench 4.0 at max reasoning effort, against 21.5% for GPT-5.6 Terra. The specifications: a 1,050,000-token context window with up to 922,000 input tokens, 128,000 max output, text and image input, and a knowledge cutoff of 1 June 2026. reasoning_effort takes none / low / medium (default) / high / xhigh / max; reasoning tokens are billed as output and count against max_tokens. When a request's input exceeds 272K tokens, input and cached input bill at 2× and output at 1.5×, the same long-context tier as the rest of the family. Call it through the OpenAI-compatible /v1/chat/completions or /v1/responses with model gpt-6.1-terra — the OpenAI SDK only needs base_url and key changed. Streaming, function calling, structured outputs and image input work. When not to switch yet: if your hardest tasks depend on GPT-6.1 Sol today, run both on your own workload first — Terra's published scores are against GPT-5.6 Terra, not against Sol.
View complete API reference with all parameters and examples.
Enable real-time streaming responses with Server-Sent Events.
{
"model": "gpt-6.1-terra",
"stream": true,
"messages": [...]
}Enable the model to use tools and call functions.
{
"model": "gpt-6.1-terra",
"tools": [{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a location",
"parameters": {
"type": "object",
"properties": {
"location": {"type": "string", "description": "City name"}
},
"required": ["location"]
}
}
}],
"messages": [{"role": "user", "content": "What's the weather in Tokyo?"}]
}Get structured JSON responses from the model.
{
"model": "gpt-6.1-terra",
"response_format": {"type": "json_object"},
"messages": [{"role": "user", "content": "Extract info as JSON: John is 30 years old"}]
}| Parameter | Type | Required | Description |
|---|---|---|---|
| model | string | Yes | Model identifier (e.g., gpt-6.1-terra) |
| messages | array | Yes | Array of message objects with role and content |
| max_tokens | integer | No | Maximum tokens in the response |
| stream | boolean | No | Enable streaming responses (SSE) |
| temperature | number | No | Sampling temperature (0.0 - 2.0) |
| top_p | number | No | Nucleus sampling threshold (0.0 - 1.0) |
| tools | array | No | Function calling tools definition |
| response_format | object | No | Output format (e.g., json_object) |
View complete API reference with streaming, thinking, and more.
Billing: Cost = (input_tokens * input_price + output_tokens * output_price) / 1,000,000
$0.50 / $2.50 per 1M tokens against the $1 / $5 list; cached input $0.025
OpenAI: 50.3% on Terminal-Bench 4.0 at max effort vs 21.5% for GPT-5.6 Terra
Text and image input; knowledge cutoff 1 June 2026; >272K bills input 2× and output 1.5×
Six levels (none / low / medium / high / xhigh / max), default medium; reasoning tokens count as output
GPT-6.1 Terra is a Large Language Model API provided by OpenAI. GPT-6.1 Terra is the Terra-tier model in OpenAI's GPT-6.1 line, released in October 2026. OpenAI positions it as a fast, efficient model for visual reasoning, computer use and natural-sounding writing. On APIMODELS it costs $0.50 per 1M input tokens and $2.50 per 1M output — exactly half OpenAI's $1 / $5 list, which is itself half of GPT-6.1 Sol's $2 / $10 — with cached input at $0.025. OpenAI reports 50.3% on Terminal-Bench 4.0 at max reasoning effort, against 21.5% for GPT-5.6 Terra. The specifications: a 1,050,000-token context window with up to 922,000 input tokens, 128,000 max output, text and image input, and a knowledge cutoff of 1 June 2026. reasoning_effort takes none / low / medium (default) / high / xhigh / max; reasoning tokens are billed as output and count against max_tokens. When a request's input exceeds 272K tokens, input and cached input bill at 2× and output at 1.5×, the same long-context tier as the rest of the family. Call it through the OpenAI-compatible /v1/chat/completions or /v1/responses with model gpt-6.1-terra — the OpenAI SDK only needs base_url and key changed. Streaming, function calling, structured outputs and image input work. When not to switch yet: if your hardest tasks depend on GPT-6.1 Sol today, run both on your own workload first — Terra's published scores are against GPT-5.6 Terra, not against Sol. Through APIMODELS platform, you can access this model via a unified API with transparent pay-as-you-go pricing. Current pricing: Input: $0.50, Output: $2.50 per 1M tokens.
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GPT-6.1 Terra is available through APIMODELS at: Input: $0.50, Output: $2.50 per 1M tokens. Billing is pay-as-you-go — you only pay for what you generate.
Sign up at APIMODELS, get your API key, and call our unified API endpoint. We provide detailed API documentation with code examples in cURL, Python, and Node.js.
APIMODELS offers the same GPT-6.1 Terra model through our aggregation platform. We provide a unified API interface so you do not need separate accounts for each provider - one API key to access all models.
$0.50 per 1M input tokens, $2.50 per 1M output and $0.025 for cached input — exactly half OpenAI's $1 / $5 / $0.05 list. When a single request's input exceeds 272K tokens, input and cached input bill at 2× and output at 1.5×, matching OpenAI's own long-context tier. Billing is per actual token, reasoning tokens count as output, and failed requests are free.
At list price Terra is $1 / $5 and Sol is $2 / $10, exactly half; here they cost $0.50 / $2.50 and $1.00 / $5.00. Both have a 1.05M context, 128K output and text and image input. Terra has the later knowledge cutoff (1 June 2026 vs 30 April 2026) and keeps reasoning_effort none, which 6.1 Sol dropped. OpenAI's published Terra result is 50.3% on Terminal-Bench 4.0 at max effort against 21.5% for GPT-5.6 Terra; it gave no head-to-head with Sol. Put high-volume everyday work on Terra, and run your hardest coding or long agent tasks through both on your own data before choosing.
GPT-6.1 Terra accepts none / low / medium (default) / high / xhigh / max. Reasoning tokens bill at the $2.50 output rate and count against max_tokens, so use none or low for simple work such as classification or extraction. If max_tokens is very small, reasoning can use the whole budget and leave the answer empty; raise max_tokens or lower the effort if that happens.
POST https://api.apimodels.app/v1/chat/completions or /v1/responses with model gpt-6.1-terra and Authorization: Bearer your apimodels key; with the OpenAI SDK only base_url changes. Streaming, function calling, structured outputs and image input work. There is no short alias: gpt-6.1 points to GPT-6.1 Sol, so write gpt-6.1-terra in full.
On APIMODELS, GPT-6.1 Terra runs alongside 60+ models on one API key and one balance, so choosing is about fit, not lock-in. It supports 50% Below Official, Half the Price of 6.1 Sol, 1.05M Context, Reasoning Effort, and you can weigh it on price and capability against other Large Language Model models, then switch by changing a single model-name string — no new account or integration. Browse every Large Language Model option with live pricing at apimodels.app/models.
GPT-6.1 Terra supports: 50% Below Official, Half the Price of 6.1 Sol, 1.05M Context, Reasoning Effort. See the APIMODELS docs for full parameters and call examples.
Yes. APIMODELS exposes GPT-6.1 Terra through a single unified API and one key — no separate provider accounts, and no need to handle each provider's regional network access yourself.
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