Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.
Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.
| Grok 4.6 xai/grok-4.6 | Qwen Image 3.0 Pro alibaba/qwen-image-3.0-pro | |
|---|---|---|
| Provider | xAI | Alibaba |
| Family | Grok 4 | Qwen |
| Modality | text | image |
| Context window | 500,000 tok | — |
| Max output | 32,768 tok | — |
| Released | 2026-08-12 | 2026-08-11 |
| Input price | $1.00 /1M | $0.040 /img |
| Output price | $1.00 /1M | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
xAI's Grok 4.6, a flagship reasoning model for coding, agentic tasks, and visual work. Accepts text and image inputs, and supports function calling and structured outputs.
Alibaba's Qwen Image 3.0 Pro generates images from text prompts with a focus on complex layout generation, small-text precision, and multilingual font rendering. Supports up to 6 image variants per call, negative prompts, seed control, and optional prompt rewriting.
# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI
client = OpenAI(
base_url="https://api.aigateway.sh/v1",
api_key="sk-aig-...",
)
# Try Grok 4.6
client.chat.completions.create(
model="xai/grok-4.6",
messages=[{"role":"user","content":"hello"}],
)
# Try Qwen Image 3.0 Pro — same client, same key
client.chat.completions.create(
model="alibaba/qwen-image-3.0-pro",
messages=[{"role":"user","content":"hello"}],
)