GPT-6.1 Terra
by OpenAIopenai/gpt-6.1-terra
LLMCompare cannot run GPT-6.1 Terra yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.
See the models that can be run nowGPT-6.1 Terra at a glance
- Context length
- 1,050,000 tokens
- Maximum output
- 128,000 tokens
- Accepts
- Text, Image, File
- Returns
- Text
- Features
- ReasoningJSON outputTool callingPrompt cachingImage input
- Reasoning effort levels
maxxhighhighmediumlownoneReasoning can be turned off.- Released
- 26 Oct 2026
- Knowledge cutoff
- Not published
Model facts synced from the OpenRouter model list on 26 Oct 2026.
GPT-6.1 Terra pricing by route
A route is the service LLMCompare calls to reach the model. GPT-6.1 Terra has 1 route. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Cache writeper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|---|
| OpenRouterDefault | Not configured | $1.00 | $5.00 | $0.05 | $1.25 | openrouter.ai/openai/gpt-6.1-terra |
The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.
Cost calculator
Estimate what a batch of calls to GPT-6.1 Terra costs. The starting numbers are examples. Change them to match your task.
Part of the input tokens above, billed at the cache read price.
Billed in addition to the output tokens.
- Cost per call
- $0.0035
- 5 credits
- Cost of 100 calls
- $0.35
- 500 credits
Calculated from the OpenRouter prices verified on 26 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.
Parameters you can set
These are the parameters LLMCompare can set when it calls the model through OpenRouter.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
max_tokens | Integer | 1 to 128,000 | Provider default |
reasoning_effort | One of | maxxhighhighmediumlownone | medium |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About GPT-6.1 Terra
GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol. It is suited for everyday agentic, coding, and writing work, is particularly strong at understanding screenshots...
Description as published for this model. LLMCompare has not edited it.
Models to compare with GPT-6.1 Terra
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
o4 Mini HighOpenAIopenai/o4-mini-high | 200k | 100k | $1.10 | $4.40 | ReasoningJSONToolsCacheVision | No route yet | ||
o4 MiniOpenAIopenai/o4-mini | 200k | 100k | $1.10 | $4.40 | JSONToolsCacheVision | No route yet | ||
o3 Mini HighOpenAIopenai/o3-mini-high | 200k | 100k | $1.10 | $4.40 | ReasoningJSONToolsCache | No route yet | ||
Claude Haiku 4.5Anthropicanthropic/claude-haiku-4.5 | 200k | 64k | $1.00 | $5.00 | JSONToolsCacheVision | No route yet | ||
Qwen3.7 MaxQwenqwen/qwen3.7-max | 1M | 131k | $1.48 | $4.43 | JSONToolsCache | No route yet | ||
GLM 5.1Z.aiz-ai/glm-5.1 | 205k | 131k | $1.40 | $4.40 | JSONToolsCache | No route yet |
Questions about GPT-6.1 Terra
- How much does GPT-6.1 Terra cost?
- On the OpenRouter route, GPT-6.1 Terra costs $1.00 per 1 million input tokens and $5.00 per 1 million output tokens, in US dollars. Input tokens that GPT-6.1 Terra reads from the prompt cache cost $0.05 per 1 million tokens. LLMCompare verified this price on 26 Oct 2026.
- What is the context length of GPT-6.1 Terra?
- GPT-6.1 Terra has a context length of 1,050,000 tokens and returns up to 128,000 output tokens in one call.
- What inputs does GPT-6.1 Terra accept?
- GPT-6.1 Terra accepts these inputs: Text, Image, File. GPT-6.1 Terra returns: Text.
- Which reasoning effort levels does GPT-6.1 Terra support?
- GPT-6.1 Terra supports these reasoning effort levels: max, xhigh, high, medium, low, none. Reasoning can be turned off for GPT-6.1 Terra.
- Can I test GPT-6.1 Terra on my own data?
- Not yet. LLMCompare lists the prices and parameters of GPT-6.1 Terra, but no route to GPT-6.1 Terra is configured on LLMCompare, so it cannot be selected for an evaluation.