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

Claude Opus 5 vs GPT-6.1 Sol

anthropic/claude-opus-5 · openai/gpt-6.1-sol

As of November 1, 2026, GPT-6.1 Sol is the cheaper API on UberLLM: $0.0452 per million input tokens and $0.2260 per million output, versus $0.1050 / $0.5250 for Claude Opus 5, about 57% 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-6.1 Sol to cut cost; choose Claude Opus 5 when its capabilities fit your task better.

Claude Opus 5 vs GPT-6.1 Sol, side by side

SpecClaude Opus 5GPT-6.1 Sol
Price · input / 1M$0.1050$0.0452
Price · output / 1M$0.5250$0.2260
Context length1,000,0001,050,000
Max output tokens128,000128,000
Input modalitiestext, imagetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
ReasoningYesYes
% off list97.9% off97.7% off
First token, median (7 days)4.8 s (404 requests)—

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 vs GPT-6.1 Sol — FAQ

Is Claude Opus 5 or GPT-6.1 Sol cheaper?

GPT-6.1 Sol is cheaper on a blended token mix, by about 57%. 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 and GPT-6.1 Sol?

Claude Opus 5: $0.1050 in / $0.5250 out per 1M tokens. GPT-6.1 Sol: $0.0452 in / $0.2260 out per 1M tokens. That's roughly a 57% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Claude Opus 5 and GPT-6.1 Sol 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.

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