Claude Opus 5 vs GPT-5.6 Terra
GPT-5.6 Terra is the cheaper of the two across every workload shape tested below. Headline rates are $5 in / $25 out for Claude Opus 5 versus $2 in / $12 out for GPT-5.6 Terra, per million tokens. Note that sticker price understates the gap: Claude Opus 5 tokenizes the same text into roughly 30% more tokens, which the figures below account for.
Real monthly cost, three workloads
| Workload | Claude Opus 5 | GPT-5.6 Terra | Cheaper |
|---|---|---|---|
| Support chatbot 1.5k in / 400 out · 100k req/mo · 30% cached | $2,012 | $699.00 | GPT-5.6 Terra (2.9× cheaper) |
| RAG / doc Q&A 12k in / 700 out · 50k req/mo · 60% cached | $2,931 | $972.00 | GPT-5.6 Terra (3.0× cheaper) |
| Coding agent 25k in / 2.5k out · 20k req/mo · 80% cached | $2,535 | $880.00 | GPT-5.6 Terra (2.9× cheaper) |
Costs include prompt caching at the stated hit rate and per-model tokenizer correction. Adjust for your own traffic →
Specifications side by side
| Claude Opus 5 | GPT-5.6 Terra | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input / M tokens | $5 | $2 |
| Output / M tokens | $25 | $12 |
| Cached input | $0.5 | $0.2 |
| Context window | 1000K | 1050K |
| Batch discount | −50% | −50% |
| Tokenizer factor | ×1.3 | ×1 |
| Min prefix to cache | 512 | — |
| Announced retirement | 2027-07-24+ | — |
Which should you pick?
On cost alone, GPT-5.6 Terra wins every workload shape above.
Caching behaviour differs. Claude Opus 5 requires a prefix of at least 512 tokens before caching activates.
Below those thresholds cache_control is ignored silently, with no error — which can quietly
erase the saving you were counting on.
Lifecycle matters as much as price here. Claude Opus 5 has an announced shutdown date of 2027-07-24 or later. A model that is marginally cheaper but retires within your planning horizon is rarely the better choice.
Full detail: Claude Opus 5 · GPT-5.6 Terra
All figures verified 2026-08-18 against official provider documentation. Fields a provider does not publish are shown as “—” rather than estimated.