Claude Opus 4.8 vs GPT-5.6 Terra
anthropic/claude-opus-4.8 · openai/gpt-5.6-terra
As of November 1, 2026, GPT-5.6 Terra is the cheaper API on UberLLM: $0.0435 per million input tokens and $0.2611 per million output, versus $0.2485 / $1.24 for Claude Opus 4.8, about 79% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GPT-5.6 Terra to cut cost; choose Claude Opus 4.8 when its capabilities fit your task better.
Claude Opus 4.8 vs GPT-5.6 Terra, side by side
| Spec | Claude Opus 4.8 | GPT-5.6 Terra |
|---|---|---|
| Price · input / 1M | $0.2485 | $0.0435 |
| Price · output / 1M | $1.24 | $0.2611 |
| Context length | 1,000,000 | 1,050,000 |
| Max output tokens | 128,000 | 128,000 |
| Input modalities | text, image | text, image, file |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 95% off | 97.8% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Claude Opus 4.8 vs GPT-5.6 Terra — FAQ
Is Claude Opus 4.8 or GPT-5.6 Terra cheaper?
GPT-5.6 Terra is cheaper on a blended token mix, by about 79%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Claude Opus 4.8 and GPT-5.6 Terra?
Claude Opus 4.8: $0.2485 in / $1.24 out per 1M tokens. GPT-5.6 Terra: $0.0435 in / $0.2611 out per 1M tokens. That's roughly a 79% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Opus 4.8 and GPT-5.6 Terra with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.