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DeepSeek V4 Flash vs GLM 4.5 Air

deepseek/deepseek-v4-flash · z-ai/glm-4.5-air

As of November 3, 2026, GLM 4.5 Air is the cheaper API on UberLLM: $0.0001 per million input tokens and $0.0008 per million output, versus $0.0082 / $0.0163 for DeepSeek V4 Flash, about 95% 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 4.5 Air to cut cost; choose DeepSeek V4 Flash when context size wins. DeepSeek V4 Flash carries the larger context window (1,000,000 vs 128,000 tokens), which can matter for long-document work.

DeepSeek V4 Flash vs GLM 4.5 Air, side by side

SpecDeepSeek V4 FlashGLM 4.5 Air
Price · input / 1M$0.0082$0.0001
Price · output / 1M$0.0163$0.0008
Context length1,000,000128,000
Max output tokens128,00032,768
Input modalitiestexttext
Output modalitiestexttext
Tools / functionsYesYes
ReasoningYesYes
% off list91% off99.9% off
First token, median (7 days)4.5 s (1,666 requests)—

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?

DeepSeek V4 Flash vs GLM 4.5 Air — FAQ

Is DeepSeek V4 Flash or GLM 4.5 Air cheaper?

GLM 4.5 Air is cheaper on a blended token mix, by about 95%. 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 V4 Flash and GLM 4.5 Air?

DeepSeek V4 Flash: $0.0082 in / $0.0163 out per 1M tokens. GLM 4.5 Air: $0.0001 in / $0.0008 out per 1M tokens. That's roughly a 95% blended difference. Prices are live; UberLLM adds no fee.

Can I use both DeepSeek V4 Flash and GLM 4.5 Air 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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