Claude Opus 4.8 vs GPT-4o
anthropic/claude-opus-4.8 · openai/gpt-4o
As of November 2, 2026, GPT-4o is the cheaper API on UberLLM: $0.0589 per million input tokens and $0.2355 per million output, versus $0.2483 / $1.24 for Claude Opus 4.8, about 81% 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-4o to cut cost; choose Claude Opus 4.8 when context size wins. Claude Opus 4.8 carries the larger context window (1,000,000 vs 128,000 tokens), which can matter for long-document work.
Claude Opus 4.8 vs GPT-4o, side by side
| Spec | Claude Opus 4.8 | GPT-4o |
|---|---|---|
| Price · input / 1M | $0.2483 | $0.0589 |
| Price · output / 1M | $1.24 | $0.2355 |
| Context length | 1,000,000 | 128,000 |
| Max output tokens | 64,000 | 16,384 |
| Input modalities | text | text, image |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | — |
| % off list | 95% off | 97.7% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 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-4o — FAQ
Is Claude Opus 4.8 or GPT-4o cheaper?
GPT-4o is cheaper on a blended token mix, by about 81%. 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-4o?
Claude Opus 4.8: $0.2483 in / $1.24 out per 1M tokens. GPT-4o: $0.0589 in / $0.2355 out per 1M tokens. That's roughly a 81% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Claude Opus 4.8 and GPT-4o 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.