Qwen 3.8 Max vs Grok 4.7
qwen/qwen-3-8-max · x-ai/grok-4.7
As of November 3, 2026, Grok 4.7 is the cheaper API on UberLLM: $0.0314 per million input tokens and $0.0941 per million output, versus $0.1212 / $0.3638 for Qwen 3.8 Max, about 74% 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 Grok 4.7 to cut cost; choose Qwen 3.8 Max when context size wins. Qwen 3.8 Max carries the larger context window (1,000,000 vs 500,000 tokens), which can matter for long-document work.
Qwen 3.8 Max vs Grok 4.7, side by side
| Spec | Qwen 3.8 Max | Grok 4.7 |
|---|---|---|
| Price · input / 1M | $0.1212 | $0.0314 |
| Price · output / 1M | $0.3638 | $0.0941 |
| Context length | 1,000,000 | 500,000 |
| Max output tokens | 131,072 | 450,000 |
| Input modalities | text | text, image, file |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | Yes | Yes |
| % off list | 95.2% off | 98.4% 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?
Qwen 3.8 Max vs Grok 4.7 — FAQ
Is Qwen 3.8 Max or Grok 4.7 cheaper?
Grok 4.7 is cheaper on a blended token mix, by about 74%. 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 Qwen 3.8 Max and Grok 4.7?
Qwen 3.8 Max: $0.1212 in / $0.3638 out per 1M tokens. Grok 4.7: $0.0314 in / $0.0941 out per 1M tokens. That's roughly a 74% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Qwen 3.8 Max and Grok 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.