openai
OpenAI: GPT-6.1 Terra Pro (batch)
openai/gpt-6.1-terra-pro:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenAI: GPT-6.1 Terra Pro (batch), listed on OpenRouter as openai/gpt-6.1-terra-pro:batch, is described in the catalog as the same underlying model as GPT-6.1 Terra served with reasoning mode set to pro, aiming at higher-quality responses on complex tasks. The catalog reports text output from text, image and file inputs, a 1,050,000-token context window, always-on reasoning with adjustable effort, and support for tools and structured outputs. No benchmark data, knowledge cutoff, or independent model card was provided in this source pack.[1]
Strengths
- The OpenRouter catalog describes pro reasoning mode as intended for higher-quality responses on complex tasks; reasoning is always enabled with effort levels from low to max.[1]
- Multimodal input (text, image and file) with text output and a reported 1,050,000-token context window suits long or mixed-media prompts, per the catalog.[1]
- Catalog-listed parameters include tools, tool_choice, structured_outputs, response_format, seed and verbosity, covering function calling and structured output workflows.[1]
Limitations
- Reasoning is mandatory and cannot be turned off, and the catalog's cost note warns that pro mode spends far more, so token consumption and cost may be higher than expected.[1]
- Evidence is catalog-only: no benchmark results, knowledge cutoff, latency details or independent model card were supplied, so real-world performance and batch behavior should be validated on your own workloads.[1]
Where to use it
- A candidate for complex, multi-step reasoning or agentic tool-use workloads where the catalog's pro mode may add quality; confirm accuracy and token cost on representative tasks before adopting.[1]
- Worth evaluating for long-context or multimodal batch pipelines (documents, images, files) that fit the reported 1,050,000-token context and can tolerate non-interactive processing.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-6.1 Terra Pro (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-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...
Specifications
- Model ID
- openai/gpt-6.1-terra-pro:batch
- Canonical ID
- openai/gpt-6.1-terra-pro-20261026
- Creator
- openai
- Added to OpenRouter
- 26.10.2026
- Context length
- 1,050,000
- Modality
- text+image+file->text
- Input modalities
- file, image, text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.500 / out $2.5
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default medium · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| OpenAI | 1,050,000 | $0.500 | $2.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.