DeepSeek V4 Pro vs GLM 5.3
deepseek/deepseek-v4-pro · z-ai/glm-5.3
As of October 31, 2026, GLM 5.3 is the cheaper API on UberLLM: $0.0022 per million input tokens and $0.0448 per million output, versus $0.3016 / $0.6032 for DeepSeek V4 Pro, about 94% 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 GLM 5.3 to cut cost; choose DeepSeek V4 Pro when its capabilities fit your task better.
DeepSeek V4 Pro vs GLM 5.3, side by side
| Spec | DeepSeek V4 Pro | GLM 5.3 |
|---|---|---|
| Price · input / 1M | $0.3016 | $0.0022 |
| Price · output / 1M | $0.6032 | $0.0448 |
| Context length | 1,000,000 | 1,000,000 |
| Max output tokens | 128,000 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 81% off | 97% off |
| First token, median (7 days) | 5.4 s (200 requests) | 3.5 s (156 requests) |
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 V4 Pro vs GLM 5.3 — FAQ
Is DeepSeek V4 Pro or GLM 5.3 cheaper?
GLM 5.3 is cheaper on a blended token mix, by about 94%. 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 Pro and GLM 5.3?
DeepSeek V4 Pro: $0.3016 in / $0.6032 out per 1M tokens. GLM 5.3: $0.0022 in / $0.0448 out per 1M tokens. That's roughly a 94% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro and GLM 5.3 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.