openai
OpenAI: GPT-5.6 Terra Pro
openai/gpt-5.6-terra-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenAI's GPT-5.6 Terra Pro, listed by OpenRouter as openai/gpt-5.6-terra-pro, is described in the catalog as the same underlying model as GPT-5.6 Terra but served with a pro reasoning mode intended for higher-quality responses on complex tasks. The catalog reports text, image, and file inputs with text output, a context window of about 1.05 million tokens, adjustable reasoning effort, and tool and structured-output support. All evidence comes from OpenRouter's catalog; an independent model card was not available in this source pack.[1]
Strengths
- Multimodal input: the OpenRouter catalog lists text, image, and file inputs with text output.[1]
- Flexible reasoning controls: the catalog reports an optional reasoning mode enabled by default at medium effort, with levels from none up to max.[1]
- Long context and structured outputs: the listing reports a roughly 1.05-million-token context window plus tool-calling and structured-output parameters.[1]
Limitations
- Catalog-only evidence: every claim comes from OpenRouter's listing, and no independent model card was available in this source pack.[1]
- No measured performance: the catalog's benchmark fields are empty, so the described capabilities are catalog-reported claims rather than verified results.[1]
- Higher spend per request: the listing notes the pro reasoning mode consumes far more tokens, and the cost-quality tradeoff needs validation on real workloads.[1]
Where to use it
- May suit complex analytical or reasoning-heavy tasks where the catalog-described pro mode's deeper reasoning could justify higher token usage.[1]
- Could be evaluated for document- or image-grounded workflows that benefit from a very large reported context window.[1]
- Potentially appropriate for tool-use pipelines needing structured outputs, subject to validating performance on the target workload.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 Terra ProSources 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 Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-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-5.6-terra-pro
- Canonical ID
- openai/gpt-5.6-terra-pro-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 $2 / out $12
- 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 | No measurement | 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
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 | $1 | $6 | — | — | — |
| Azure | 1,050,000 | $2 | $12 | — | — | — |
| OpenAI | 1,050,000 | $2 | $12 | — | — | — |
| Azure | 1,050,000 | $2.2 | $13.2 | — | — | — |
| OpenAI | 1,050,000 | $4 | $24 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.