GPT-5.6 Terra Pro
OpenAI · released Jul 9, 2026
- Type
- Closed
- Input
- $2.00
- Output
- $12.00
- Cached
- $0.20
List price · per 1M tokens · OpenAI at 1.1M context · source ↗
Our take
Written Sep 4, 2026GPT-5.6 Terra Pro is OpenAI's proprietary flagship that handles up to 1.05 million tokens in a single request, accepting text, images and files. It is built for long-document and multimodal analysis, though no benchmark scores are available to verify its quality.
Choose this when you need to analyse entire books, large codebases or extensive conversation history in one pass, or for multimodal workflows mixing text, images and files where proprietary hosting is acceptable. Use Azure for high-throughput batch work. Skip it if you need verified quality scores, if you want to self-host, or if your budget cannot stretch to premium tiers.
The case for it
- One of the largest request limits among frontier models we track, at 1.05 million tokens.
- Wide throughput range: the fastest tier delivers 14 times the speed of the slowest, letting you trade speed for cost.
- The cheapest tier costs an eighth of the premium tier from the same provider on both input and output.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and multimodal performance are all unverified.
- Premium pricing even at the cheapest tier, with no published quality data to justify the cost.
- Parameter count undisclosed, so there is no basis for efficiency claims against downloadable alternatives.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 2 hours ago — each listing carries its own date.
OpenAI, through OpenRouter
The lab is the cheapest at this context. The strip above and this offer are the same one, compared at 1.1M of context. One cheaper row below is outside that comparison: a non-standard pricing tier.
- per 1M tokens
- $2.00 in / $12.00 out
- Context served
- 1.1M
- Throughput
- ~72 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenAIflex tierThrough OpenRouter | $1.00 / $6.00checked 2 hours ago | 1.1M128K max reply | 24 tok/s | No | Yesunknown period | Unknown |
| OpenRouterOpenRouter's own listing | $2.00 / $12.00checked 2 hours ago | 1.1M | not measured | Unknown | Unknown | Unknown |
| Microsoft Azure AIThrough OpenRouter | $2.00 / $12.00checked 2 hours ago | 1.1M128K max reply | 53 tok/s | No | No | Confirmed |
| OpenAIThrough OpenRouter | $2.00 / $12.00checked 2 hours ago | 1.1M128K max reply | 72 tok/s | No | Yesunknown period | Unknown |
| Microsoft Azure AIeuThrough OpenRouter | $2.20 / $13.20checked 2 hours ago | 1.1M128K max reply | 24 tok/s | No | No | Confirmed |
| OpenAIfast tierThrough OpenRouter | $4.00 / $24.00checked 2 hours ago | 1.1M128K max reply | 32 tok/s | No | Yesunknown period | Unknown |
OpenRouter
Microsoft Azure AIAcross the 6 listings we hold: 5 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenAIflexThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Microsoft Azure AIThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenAIThrough OpenRouter | ✓ | ✓ | ✓ |
| Microsoft Azure AIeuThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenAIfastThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 6 of 6 listings say yes. JSON output: 6 of 6 listings say yes. Strict schema: 6 of 6 listings say yes.
When we formed this view
Recent changes
What moved
GPT-5.6 Terra Pro moved on 2 Azure listings: Azure (EU region): input −20% ($2.75 → $2.20 per 1M tokens), output −20% ($16.50 → $13.20 per 1M tokens), cache read −20% ($0.275 → $0.220 per 1M tokens), cache write −20% ($3.44 → $2.75 per 1M tokens); Azure: input −20% ($2.50 → $2.00 per 1M tokens), output −20% ($15.00 → $12.00 per 1M tokens), cache read −20% ($0.25 → $0.20 per 1M tokens), cache write −20% ($3.13 → $2.50 per 1M tokens)What moved
input −20% ($0.625 → $0.500 per 1M tokens), output −20% ($3.75 → $3.00 per 1M tokens), cache read −20% ($0.0625 → $0.0500 per 1M tokens), cache write −20% ($0.781 → $0.625 per 1M tokens)What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 6 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images and documents in, text out
- Catalogue slug
- openai-gpt-5-6-terra-pro