Gemini 2.5 Pro vs GLM-4.7
google/gemini-2.5-pro · z-ai/glm-4.7
As of November 3, 2026, GLM-4.7 is the cheaper API on UberLLM: $0.0028 per million input tokens and $0.0102 per million output, versus $0.3000 / $2.40 for Gemini 2.5 Pro, 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-4.7 to cut cost; choose Gemini 2.5 Pro when context size wins. Gemini 2.5 Pro carries the larger context window (1,048,576 vs 128,000 tokens), which can matter for long-document work.
Gemini 2.5 Pro vs GLM-4.7, side by side
| Spec | Gemini 2.5 Pro | GLM-4.7 |
|---|---|---|
| Price · input / 1M | $0.3000 | $0.0028 |
| Price · output / 1M | $2.40 | $0.0102 |
| Context length | 1,048,576 | 128,000 |
| Max output tokens | 65,536 | 32,768 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 76% off | 99.5% off |
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?
Gemini 2.5 Pro vs GLM-4.7 — FAQ
Is Gemini 2.5 Pro or GLM-4.7 cheaper?
GLM-4.7 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 Gemini 2.5 Pro and GLM-4.7?
Gemini 2.5 Pro: $0.3000 in / $2.40 out per 1M tokens. GLM-4.7: $0.0028 in / $0.0102 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Pro and GLM-4.7 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.