GPT-5.6 Terra
GPT-5.6 Terra is a chat model from OpenAI, tracked here with third-party throughput and latency measurements alongside provider pricing.
API Pricing
Cheapest on OpenAI — 33% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $1.00 | $6.00 | $0.100 | |
| $1.00 | $6.00 | $0.100 | |
| $2.00 | $12.00 | $0.200 | |
| $2.00 | $12.00 | $0.200 |
Prices updated daily. Last check: Aug 26, 2026
GPT-5.6 Terra pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- GPQA Diamond92.5%
- Humanity's Last Exam42.9%
Coding
- SciCode53.9%
Agentic & Tool Use
- Terminal-Bench Hard57.6%
- Terminal-Bench v2.188.0%
- τ²-bench86.3%
- τ-bench Banking40.2%
Instruction & Long Context
- IFBench71.2%
- Long-Context Reasoning79.7%
Benchmarks measured Aug 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- OpenAI
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
Strengths
- Measured output throughput of approximately 98.8 tokens per second in Artificial Analysis testing, suitable for streaming chat interfaces
- Built by OpenAI, so it is generally reachable through the widely supported OpenAI-compatible chat completions request format
- Independent third-party performance data is available rather than only vendor-published figures
- Positioned in the GPT-5.x generation, keeping it aligned with OpenAI's current API conventions and SDKs
- Chat-tuned, so it can be dropped into existing assistant and instruction-following pipelines without a separate prompt format
- Pricing across available providers is tracked live on this page for direct comparison against peer models
Limitations
- Time to first token of roughly 2,156 ms adds a visible pause before responses begin streaming, which is a drawback for latency-sensitive UIs
- We do not currently track a confirmed context window for this model, so long-document workloads need verification against OpenAI's documentation
- No verified quality benchmark scores are recorded in our database, making capability comparisons against siblings difficult from this page alone
- Supported input and output modalities are not confirmed in our data
- Availability may be limited to a small number of providers, reducing routing and failover options
Key Features
About GPT-5.6 Terra
Common Use Cases
GPT-5.6 Terra fits general chat and instruction-following workloads where sustained generation speed matters more than instant first-token response: drafting and rewriting text, summarization, question answering over supplied context, customer-support assistants, and internal knowledge tools. The near-100 tokens per second output rate is fast enough that long answers render at a natural reading pace, while the roughly two-second startup delay makes it a weaker fit for autocomplete, voice-turn-taking, or other interactions where users notice sub-second lag. Batch and asynchronous jobs — bulk summarization, content generation queues, evaluation harnesses — are unaffected by the first-token delay and benefit from the throughput. Because we do not track a confirmed context window or modality set for this model, teams planning long-context retrieval pipelines or image-input workflows should confirm those specifications with OpenAI before committing.
Frequently Asked Questions
How much does GPT-5.6 Terra cost?
Pricing varies by provider and by pricing type — input tokens, output tokens, and any cached or batch rates are usually billed separately, and providers change their rates over time. Check the pricing table on this page for current tracked figures rather than relying on a fixed number.
What is GPT-5.6 Terra best used for?
It is a chat model, so it suits conversational assistants, drafting and editing, summarization, and question answering. Its measured throughput of about 98.8 tokens per second makes it comfortable for streaming long responses, while the roughly 2.2-second time to first token makes it less suited to autocomplete or voice interfaces where startup latency is noticeable.
How fast is GPT-5.6 Terra?
Artificial Analysis measured approximately 98.8 output tokens per second with a time to first token of about 2,156 milliseconds. Actual figures depend on the provider, prompt length, region, and load at the time of the request.
What context window does GPT-5.6 Terra support?
We do not currently have a confirmed context window recorded for this model in our database. Consult OpenAI's model documentation or your serving provider for the authoritative limit before designing long-context or retrieval-heavy applications.
How does GPT-5.6 Terra compare to other GPT-5.x models?
Our entry for GPT-5.6 Terra carries throughput and latency measurements but no verified quality benchmarks, so a capability comparison cannot be made from this page alone. On speed, you can compare its ~98.8 tokens per second and ~2,156 ms first-token latency directly against the figures listed on other model pages in this catalog, and compare cost using the pricing table above.