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

GPT-4o Mini vs GPT-6 Sol

openai/gpt-4o-mini · openai/gpt-6-sol

As of November 3, 2026, GPT-4o Mini is the cheaper API on UberLLM: $0.0089 per million input tokens and $0.0358 per million output, versus $0.0233 / $0.1167 for GPT-6 Sol, about 69% 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 Mini to cut cost; choose GPT-6 Sol when context size wins. GPT-6 Sol carries the larger context window (1,050,000 vs 128,000 tokens), which can matter for long-document work.

GPT-4o Mini vs GPT-6 Sol, side by side

SpecGPT-4o MiniGPT-6 Sol
Price · input / 1M$0.0089$0.0233
Price · output / 1M$0.0358$0.1167
Context length128,0001,050,000
Max output tokens16,384128,000
Input modalitiestext, imagetext, image, file
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Reasoning—Yes
% off list94% off98.8% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

GPT-4o Mini vs GPT-6 Sol — FAQ

Is GPT-4o Mini or GPT-6 Sol cheaper?

GPT-4o Mini is cheaper on a blended token mix, by about 69%. 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 GPT-4o Mini and GPT-6 Sol?

GPT-4o Mini: $0.0089 in / $0.0358 out per 1M tokens. GPT-6 Sol: $0.0233 in / $0.1167 out per 1M tokens. That's roughly a 69% blended difference. Prices are live; UberLLM adds no fee.

Can I use both GPT-4o Mini and GPT-6 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.

More comparisons