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

Pareto 26.9 vs GLM 5.3 Flash

unbiased/pareto-26.9 · z-ai/glm-5.3-flash

As of November 5, 2026, GLM 5.3 Flash is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0039 per million output, versus $2.48 / $7.42 for Pareto 26.9, about 100% 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 GLM 5.3 Flash to cut cost; choose Pareto 26.9 when its capabilities fit your task better.

Pareto 26.9 vs GLM 5.3 Flash, side by side

SpecPareto 26.9GLM 5.3 Flash
Price · input / 1M$2.48$0.0012
Price · output / 1M$7.42$0.0039
Context length262,1441,048,576
Max output tokens131,072131,072
Input modalitiestext, imagetext, image, video
Output modalitiestexttext
Tools / functionsYesYes
Vision (image input)YesYes
Reasoning—Yes
% off list1% off99.2% off
First token, median (7 days)—5.2 s (4,008 requests)

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Pareto 26.9 vs GLM 5.3 Flash — FAQ

Is Pareto 26.9 or GLM 5.3 Flash cheaper?

GLM 5.3 Flash is cheaper on a blended token mix, by about 100%. 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 Pareto 26.9 and GLM 5.3 Flash?

Pareto 26.9: $2.48 in / $7.42 out per 1M tokens. GLM 5.3 Flash: $0.0012 in / $0.0039 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Pareto 26.9 and GLM 5.3 Flash 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