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

Trinity Large Thinking vs GLM-4.6

arcee-ai/trinity-large-thinking · z-ai/glm-4.6

As of November 6, 2026, GLM-4.6 is the cheaper API on UberLLM: $0.0042 per million input tokens and $0.0170 per million output, versus $0.1975 / $0.6320 for Trinity Large Thinking, about 97% 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-4.6 to cut cost; choose Trinity Large Thinking when context size wins. Trinity Large Thinking carries the larger context window (256,000 vs 198,000 tokens), which can matter for long-document work.

Trinity Large Thinking vs GLM-4.6, side by side

SpecTrinity Large ThinkingGLM-4.6
Price · input / 1M$0.1975$0.0042
Price · output / 1M$0.6320$0.0170
Context length256,000198,000
Max output tokens32,76816,384
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYesYes
% off list34.3% off99% off

Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 6, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

Trinity Large Thinking vs GLM-4.6 — FAQ

Is Trinity Large Thinking or GLM-4.6 cheaper?

GLM-4.6 is cheaper on a blended token mix, by about 97%. 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 Trinity Large Thinking and GLM-4.6?

Trinity Large Thinking: $0.1975 in / $0.6320 out per 1M tokens. GLM-4.6: $0.0042 in / $0.0170 out per 1M tokens. That's roughly a 97% blended difference. Prices are live; UberLLM adds no fee.

Can I use both Trinity Large Thinking and GLM-4.6 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