GPT-6 Astra vs Grok 4.7
openai/gpt-6-astra · x-ai/grok-4.7
As of November 2, 2026, Grok 4.7 is the cheaper API on UberLLM: $0.0533 per million input tokens and $0.1600 per million output, versus $0.0733 / $0.3664 for GPT-6 Astra, about 55% 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 GPT-6 Astra when context size wins. GPT-6 Astra carries the larger context window (1,050,000 vs 500,000 tokens), which can matter for long-document work.
GPT-6 Astra vs Grok 4.7, side by side
| Spec | GPT-6 Astra | Grok 4.7 |
|---|---|---|
| Price · input / 1M | $0.0733 | $0.0533 |
| Price · output / 1M | $0.3664 | $0.1600 |
| Context length | 1,050,000 | 500,000 |
| Max output tokens | 128,000 | 450,000 |
| Input modalities | text, image | text, image, file |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.3% off | 97.3% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
GPT-6 Astra vs Grok 4.7 — FAQ
Is GPT-6 Astra or Grok 4.7 cheaper?
Grok 4.7 is cheaper on a blended token mix, by about 55%. 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 GPT-6 Astra and Grok 4.7?
GPT-6 Astra: $0.0733 in / $0.3664 out per 1M tokens. Grok 4.7: $0.0533 in / $0.1600 out per 1M tokens. That's roughly a 55% blended difference. Prices are live; UberLLM adds no fee.
Can I use both GPT-6 Astra 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.