OpenAI: GPT-6.1 Terra Pro
openai/gpt-6.1-terra-proGPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
- Context window
- 1,050,000 tokens
- Input
- file · image · text
- Output
- text
- Relay support
- Text & vision
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $1 | $1.15 | 11,500 |
| Output / 1M tokens | $5 | $5.75 | 57,500 |
| Per search | $0.01 | $0.0115 | 115 |
| Cache read / 1M tokens | $0.05 | $0.0575 | 575 |
| Cache write / 1M tokens | $1.25 | $1.4375 | 14,375 |
Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.
Catalogue time: 2026-11-12T00:24:07.939Z · Live catalogue
View upstream pricing tiers
These are raw upstream pricing conditions without our markup. The final charge is multiplied by the site rate.
[
{
"min_prompt_tokens": 272000,
"prompt": "0.000002",
"completion": "0.0000075",
"input_cache_read": "0.0000001",
"input_cache_write": "0.0000025"
}
]View all upstream price fields
{
"prompt": "0.000001",
"completion": "0.000005",
"web_search": "0.01",
"input_cache_read": "0.00000005",
"input_cache_write": "0.00000125",
"overrides": [
{
"min_prompt_tokens": 272000,
"prompt": "0.000002",
"completion": "0.0000075",
"input_cache_read": "0.0000001",
"input_cache_write": "0.0000025"
}
]
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.