Llama 3.3 70B Instruct vs Qwen: Qwen3.8 Max (0902)
meta-llama/llama-3.3-70b-instruct · qwen/qwen3.8-max-0902
As of November 1, 2026, Qwen: Qwen3.8 Max (0902) is the cheaper API on UberLLM: $0.0021 per million input tokens and $0.0063 per million output, versus $0.0208 / $0.0279 for Llama 3.3 70B Instruct, about 80% 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 Qwen: Qwen3.8 Max (0902) to cut cost; choose Llama 3.3 70B Instruct when its capabilities fit your task better.
Llama 3.3 70B Instruct vs Qwen: Qwen3.8 Max (0902), side by side
| Spec | Llama 3.3 70B Instruct | Qwen: Qwen3.8 Max (0902) |
|---|---|---|
| Price · input / 1M | $0.0208 | $0.0021 |
| Price · output / 1M | $0.0279 | $0.0063 |
| Context length | 128,000 | 1,000,000 |
| Max output tokens | 4,096 | 131,072 |
| Input modalities | text | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | — | Yes |
| % off list | 85.5% off | 99.9% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 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 Qwen: Qwen3.8 Max (0902) — FAQ
Is Llama 3.3 70B Instruct or Qwen: Qwen3.8 Max (0902) cheaper?
Qwen: Qwen3.8 Max (0902) is cheaper on a blended token mix, by about 80%. 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 Qwen: Qwen3.8 Max (0902)?
Llama 3.3 70B Instruct: $0.0208 in / $0.0279 out per 1M tokens. Qwen: Qwen3.8 Max (0902): $0.0021 in / $0.0063 out per 1M tokens. That's roughly a 80% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Llama 3.3 70B Instruct and Qwen: Qwen3.8 Max (0902) 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.