openai
OpenAI: GPT-6.1 Terra (batch)
openai/gpt-6.1-terra:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter’s catalog, openai/gpt-6.1-terra:batch is an OpenAI text-output variant that accepts text, image, and file inputs. The catalog describes GPT-6.1 Terra as a mid-tier GPT-6.1-series model for everyday agentic, coding, and writing tasks, with particular emphasis on screenshot understanding. It also lists configurable reasoning, tool use, structured outputs, seeds, response formatting, and verbosity. Because only catalog evidence was supplied, these are source-reported characteristics rather than independently measured results, and batch behavior requires workload validation.[1]
Strengths
- The catalog reports that it accepts text, image, and file inputs while producing text output.[1]
- Optional reasoning is enabled by default at medium effort, with supported settings including none, low, medium, high, xhigh, and max.[1]
- Request controls include tools, tool_choice, structured_outputs, response_format, seed, max_tokens, include_reasoning, and verbosity.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack, so capabilities remain source-reported.[1]
- The knowledge cutoff is unspecified, and the coding and agentic index fields have no supplied values.[1]
- The batch variant’s latency, throughput, queueing, and service-level behavior are not described; validate them on representative workloads.[1]
Where to use it
- Evaluate it for file- or screenshot-assisted text workflows that need multimodal input and text output; this reflects catalog-reported capability.[1]
- Consider it for routine agentic, coding, or writing tasks where configurable reasoning and tool selection are useful; the catalog positions the model this way without demonstrating results.[1]
- Evaluate it for structured-generation jobs that need response schemas, seed control, or tool selection.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-6.1 Terra (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 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...
Specifications
- Model ID
- openai/gpt-6.1-terra:batch
- Canonical ID
- openai/gpt-6.1-terra-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 | AA — next 20% of the cohort | reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · 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: optional · default medium · efforts: max, xhigh, high, medium, low, none · 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Intelligence index | 51.3 | AA — next 20% of the cohort | 13.11.2026 |
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.