GPT-5.6 Terra pricing in 2026
What one task costs on GPT-5.6 Terra
Per-million-token prices are hard to feel, so here are typical token counts for common jobs priced with GPT-5.6 Terra. Figures are USD at the rates above and exclude prompt caching and batch discounts.
| Task | Tokens (in / out) | Cost |
|---|---|---|
| Code review of a 500-line pull request | 60,000 / 4,000 | $0.168 |
| Debug one failing test | 40,000 / 6,000 | $0.152 |
| Generate a landing page in one shot | 3,000 / 30,000 | $0.366 |
| Draft a 1,200-word article | 2,000 / 2,500 | $0.034 |
| Answer a question from a 20-page document | 25,000 / 800 | $0.060 |
| Multi-step agent run (10 tool calls) | 250,000 / 25,000 | $0.800 |
| All of the above, once | $1.58 |
Cheaper at the same or better capability: GLM-5.3 Flash runs the same set of tasks for $0.091 instead of $1.58.
GPT-5.6 Terra by OpenAI costs $2 per 1M input tokens and $12 per 1M output tokens — about 105.3k tokens per $1. Prices last verified 2026-09-19.
The verdict
The middle of the GPT-5.6 family and the best ChatGPT value for most work: an index of 42 at $2 / $12, roughly 60% of Sol's output price. It covers the bulk of production tasks without the flagship premium, making it the default OpenAI pick unless you specifically need the top tier.
A concrete example: sending 100,000 input tokens and getting back 20,000 output tokens with GPT-5.6 Terra costs about $0.44 at current prices.
Who is GPT-5.6 Terra for?
GPT-5.6 Terra is the model most teams should default to within OpenAI's lineup. It keeps most of Sol's capability (index 42 vs 47) at roughly half the price, which makes it the sensible middle of the family for production work, agent pipelines and everyday coding.
Pick Terra when you want OpenAI's ecosystem and tooling without the flagship bill. Choose Sol only if you've hit a real quality ceiling with Terra on hard tasks; choose Luna if your work is high-volume and cost-sensitive enough to trade capability for price.
Strengths & weaknesses
- Strength: Best ChatGPT value for most tasks
- Best for: Backend, Value
- Weakness: Mid-tier at front-end design — not the pick for polished UI.
GPT-5.6 Terra key facts
| Provider | ChatGPT pricing |
|---|---|
| Input price | $2 / 1M tokens |
| Output price | $12 / 1M tokens |
| Tokens / $1 | 105.3k |
| Intelligence / $1 | 44,211 |
| Context window | 1.1M tokens |
| Tier | balanced |
| Speed | Fast |
| Intelligence index | 42 / 100 |
| Released | 2026-07-09 |
| Last verified | 2026-09-19 |
What GPT-5.6 Terra delivers for your budget
For a coding workload, here is roughly what each monthly budget buys:
| Budget | Tokens / month | Months of workload |
|---|---|---|
| $20 | 4.6M | 7.1x |
| $50 | 11.6M | 17.9x |
| $100 | 23.2M | 35.7x |
Other ChatGPT models
How GPT-5.6 Terra compares to its closest rivals
Rather than repeating the full catalog on every page, here are the three current models nearest to GPT-5.6 Terra on the intelligence index — and why you might still pick one instead:
- GLM-5.3 Flash (GLM) — $0.15 input / $0.50 output per 1M tokens. Why you might pick it: High index at a fraction of a cent per thousand tokens.
- Gemini 3.8 Flash (Gemini) — $0.75 input / $3.75 output per 1M tokens. Why you might pick it: Near-Pro quality at Flash price and speed.
- DeepSeek V4.1 Flash (DeepSeek) — $0.15 input / $0.60 output per 1M tokens. Why you might pick it: Best intelligence-per-dollar on the site.
GPT-5.6 Terra — frequently asked questions
How much does GPT-5.6 Terra cost?
GPT-5.6 Terra by OpenAI costs $2 per 1M input tokens and $12 per 1M output tokens.
How many tokens per dollar does GPT-5.6 Terra give you?
On a typical 1:3 input-to-output mix, GPT-5.6 Terra delivers around 105.3k tokens per dollar — an intelligence-per-dollar score of 44211.
What is GPT-5.6 Terra's context window?
GPT-5.6 Terra supports a context window of 1.1M tokens.
Is GPT-5.6 Terra worth it in 2026?
GPT-5.6 Terra is ChatGPT's balanced tier model. Use the AI Intelligence Calculator to see how its value compares to every other model at your budget.