openai
OpenAI: GPT-5.6 Terra (batch)
openai/gpt-5.6-terra:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
openai/gpt-5.6-terra:batch is the batch variant of OpenAI's GPT-5.6 Terra, presented in the OpenRouter catalog as a balanced model positioned between the flagship Sol tier and the cost-efficient Luna tier of the GPT-5.6 series. According to that catalog, it accepts text, image, and file inputs and produces text, offers a large context window, has reasoning enabled by default at medium effort with adjustable levels, and supports tools, structured outputs, seed, and verbosity controls. An independent model card was not available in this source pack, so all details come solely from OpenRouter's listing.[1]
Strengths
- Catalog-reported multimodal inputs (text, image, and file) with text output, plus a very large advertised context window.[1]
- Adjustable reasoning effort from none to max, enabled by default at medium, giving operators flexibility between latency and depth.[1]
- Broad parameter support listed by the catalog, including tool calling, tool choice, structured outputs, response format, seed, and verbosity.[1]
Limitations
- Evidence is limited to the OpenRouter catalog; no independent model card was supplied, so capabilities and catalog benchmark figures should be validated on real workloads before adoption.[1]
- The source does not detail batch-specific behavior such as completion windows, queuing, availability, or throughput limits.[1]
- Knowledge cutoff is listed as February 2026, so later events are not covered without connected tools.[1]
Where to use it
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 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-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
Specifications
- Model ID
- openai/gpt-5.6-terra:batch
- Canonical ID
- openai/gpt-5.6-terra-20260709
- Creator
- openai
- Added to OpenRouter
- 09.07.2026
- 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 $1 / out $6
- Knowledge cutoff
- 16.02.2026
- 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 | BB — next 30% of the cohort | reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | SS — top 10% of the cohort | — |
| Agents | AA — next 20% of the cohort | 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 | 32.3 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Coding index | 76.7 | SS — top 10% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 43.2 | 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 | $1 | $6 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.