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

DeepSeek V3.2 vs GLM 5.1

deepseek/deepseek-v3.2 · z-ai/glm-5.1

As of October 31, 2026, DeepSeek V3.2 is the cheaper API on UberLLM: $0.0026 per million input tokens and $0.0038 per million output, versus $0.0693 / $0.2178 for GLM 5.1, about 98% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose DeepSeek V3.2 to cut cost; choose GLM 5.1 when context size wins. GLM 5.1 carries the larger context window (200,000 vs 160,000 tokens), which can matter for long-document work.

DeepSeek V3.2 vs GLM 5.1, side by side

SpecDeepSeek V3.2GLM 5.1
Price · input / 1M$0.0026$0.0693
Price · output / 1M$0.0038$0.2178
Context length160,000200,000
Max output tokens32,76824,000
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYesYes
% off list99% off95% off

Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?

DeepSeek V3.2 vs GLM 5.1 — FAQ

Is DeepSeek V3.2 or GLM 5.1 cheaper?

DeepSeek V3.2 is cheaper on a blended token mix, by about 98%. 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 DeepSeek V3.2 and GLM 5.1?

DeepSeek V3.2: $0.0026 in / $0.0038 out per 1M tokens. GLM 5.1: $0.0693 in / $0.2178 out per 1M tokens. That's roughly a 98% blended difference. Prices are live; UberLLM adds no fee.

Can I use both DeepSeek V3.2 and GLM 5.1 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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