NewPoint any agent at UberLLM — one key, every model, list price or less.

Claude Opus 5.5 vs GPT-5.6 Terra

anthropic/claude-opus-5.5 · 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 $0.1784 / $0.8922 for Claude Opus 5.5, about 71% 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 5.5 when its capabilities fit your task better.

Claude Opus 5.5 vs GPT-5.6 Terra, side by side

SpecClaude Opus 5.5GPT-5.6 Terra
Price · input / 1M$0.1784$0.0435
Price · output / 1M$0.8922$0.2611
Context length1,000,0001,050,000
Max output tokens128,000128,000
Input modalitiestext, image, filetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list95.5% off97.8% 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 5.5 vs GPT-5.6 Terra — FAQ

Is Claude Opus 5.5 or GPT-5.6 Terra cheaper?

GPT-5.6 Terra is cheaper on a blended token mix, by about 71%. 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 5.5 and GPT-5.6 Terra?

Claude Opus 5.5: $0.1784 in / $0.8922 out per 1M tokens. GPT-5.6 Terra: $0.0435 in / $0.2611 out per 1M tokens. That's roughly a 71% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Opus 5.5 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.

More comparisons