Pricing comparison
GPT-5.6 Sol vs GPT-5.6 Terra
Per-token pricing, full-workload cost ladders, and monthly volume projections. Numbers sourced directly from each provider's rate card.
OpenAI
GPT-5.6 Sol
- Input
- $5.00 / 1M
- Output
- $30.00 / 1M
- Cached input
- $0.500 / 1M
- Context
- 1.5M
- Max output
- 128K
OpenAI
GPT-5.6 Terra
- Input
- $2.50 / 1M
- Output
- $15.00 / 1M
- Cached input
- $0.250 / 1M
- Context
- 1.5M
- Max output
- 128K
Cost per request
Four common workload shapes, input tokens and a 1:2 output ratio (a standard chat/completion pattern). Long-context surcharges apply automatically where the provider charges them.
| Scenario | Tokens (in / out) | GPT-5.6 Sol | GPT-5.6 Terra | Winner |
|---|---|---|---|---|
| Short prompt | 100 / 200 | $0.0065 | $0.0033 | GPT-5.6 Terra |
| Typical request | 1,000 / 2,000 | $0.0650 | $0.0325 | GPT-5.6 Terra |
| Long document | 10,000 / 5,000 | $0.2000 | $0.1000 | GPT-5.6 Terra |
| Large prompt | 100,000 / 10,000 | $0.8000 | $0.4000 | GPT-5.6 Terra |
Monthly bill at scale
Projected monthly cost at typical request volume, assuming the "typical request" shape above (1k in, 2k out).
| Traffic | Req / month | GPT-5.6 Sol | GPT-5.6 Terra | Delta |
|---|---|---|---|---|
| Small SaaS | 1,000 | $65.00 | $32.50 | GPT-5.6 Terra -$32.50 |
| Growing product | 10,000 | $650.00 | $325.00 | GPT-5.6 Terra -$325.00 |
| Heavy usage | 100,000 | $6,500 | $3,250 | GPT-5.6 Terra -$3,250 |
Which should you use?
For the typical chat-shape request (~1k input, 2k output), GPT-5.6 Terra comes out 100% cheaper. If you're picking one as the default, that's usually the right choice on cost alone.
GPT-5.6 Terra wins on both sides of the bill - cheaper input and cheaper output. If the quality gap is in your favour, there's no cost argument for the other side.
Live cost calculator
Type in any token counts - both prices update instantly. Uses base input/output rates (no cache discount, no long-context tier).
GPT-5.6 Sol
$0.0200
per request
GPT-5.6 Terra
$0.0100
per request
Try both in the estimator →
Drop your actual prompt in, tokens are counted with the provider's own tokenizer, and the dollar number matches what lands on your invoice.
Frequently asked
- Which is cheaper, GPT-5.6 Sol or GPT-5.6 Terra?
- On a typical 1,000-input / 2,000-output request, GPT-5.6 Terra costs ~$0.0325 vs ~$0.0650 on GPT-5.6 Sol. Input or output rates can flip the answer for very lopsided workloads - see the cost ladder above.
- What's the difference in per-token pricing?
- GPT-5.6 Sol charges $5.00 per 1M input tokens and $30.00 per 1M output tokens. GPT-5.6 Terra charges $2.50 / $15.00 per 1M.
- Which has the bigger context window?
- Both hold 1.5M of input.
- Is there a cached-input discount on either?
- GPT-5.6 Sol caches at $0.500 per 1M (90% off). GPT-5.6 Terra caches at $0.250 per 1M (90% off). Workloads with repeated static prefixes see the biggest savings.
- How fresh is this comparison?
- GPT-5.6 Sol was re-verified on 2026-07-01 and GPT-5.6 Terra on 2026-07-01 against each provider's published rate card. Calcis re-checks every row on a rolling schedule and re-deploys when a provider changes pricing.
GPT-5.6 Sol verified 2026-07-01 · GPT-5.6 Terra verified 2026-07-01. Rate cards at OpenAI.