OpenAI
GPT-5.6 Terra pricing and benchmarks
The GPT-5.6 model that balances intelligence and cost.
Input
$2.00
per 1M tokens
Cached input
$0.20
per 1M tokens
Output
$12.00
per 1M tokens
Capability index
159.1
#5 of 16 tracked
How capable is GPT-5.6 Terra?
GPT-5.6 Terra scores 159.1 on the Epoch Capabilities Index (confidence interval 157.0–161.8), ranking #5 of the 16 rated models we track. It is a best-value pick: no cheaper model we track scores higher.
| Benchmark | Tests | Score |
|---|---|---|
| GPQA Diamond | Science reasoning | 91.1% |
| FrontierMath (Tiers 1–3) | Advanced math | 86.0% |
| SimpleQA Verified | Factual accuracy | 43.2% |
| ARC-AGI-2 | Abstract reasoning | 83.9% |
| DeepSWE | Coding | 69.6% |
| APEX-Agents | Agentic work | — |
Source: Epoch AI (as “GPT-5.6 Terra”), best recorded result, CC BY 4.0. A dash means no published score. Compare all models
What GPT-5.6 Terra costs in practice
| Workload | Monthly cost |
|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $780.00 |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $1,160 |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $536.00 |
Pricing details
- Cache writes are billed at $2.50 per 1M tokens.
- Fast mode costs 2x the standard rate; Flex costs half.
Estimate your GPT-5.6 Terra bill
- GPT-5.6 TerraOpenAI$1,160/mo$0.02 / request
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.