Llama 3.3 70B Instruct vs GLM-5.2
meta-llama/llama-3.3-70b-instruct · z-ai/glm-5.2
As of October 31, 2026, GLM-5.2 is the cheaper API on UberLLM: $0.0005 per million input tokens and $0.0990 per million output, versus $0.0479 / $0.1533 for Llama 3.3 70B Instruct, about 41% 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-5.2 to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.
Llama 3.3 70B Instruct vs GLM-5.2, side by side
| Spec | Llama 3.3 70B Instruct | GLM-5.2 |
|---|---|---|
| Price · input / 1M | $0.0479 | $0.0005 |
| Price · output / 1M | $0.1533 | $0.0990 |
| Context length | 128,000 | 1,048,576 |
| Max output tokens | 4,096 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 52% off | 98% 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?
Llama 3.3 70B Instruct vs GLM-5.2 — FAQ
Is Llama 3.3 70B Instruct or GLM-5.2 cheaper?
GLM-5.2 is cheaper on a blended token mix, by about 41%. 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 Llama 3.3 70B Instruct and GLM-5.2?
Llama 3.3 70B Instruct: $0.0479 in / $0.1533 out per 1M tokens. GLM-5.2: $0.0005 in / $0.0990 out per 1M tokens. That's roughly a 41% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Llama 3.3 70B Instruct and GLM-5.2 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.