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.
| Wan 2.7 I2V alibaba/wan-2.7-i2v | Grok Imagine Image Quality xai/grok-imagine-image-quality | |
|---|---|---|
| Provider | Alibaba | xAI |
| Family | Wan | |
| Modality | video | image |
| Context window | — | — |
| Max output | — | — |
| Released | 2026-05-29 | 2026-05-22 |
| Input price | $0.100 /sec | $0.050 /img |
| Output price | — | — |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | — |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Alibaba's Wan 2.7 image-to-video model that generates videos from a reference image with optional text prompts. Supports 720P and 1080P output with durations from 2 to 15 seconds.
xAI's higher-fidelity text-to-image model optimized for sharper details, more accurate compositions, and stronger text rendering. Supports image editing via reference images and masks. Trades speed for quality compared to grok-imagine-image. Default output at 2k resolution.
# 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 Wan 2.7 I2V
client.chat.completions.create(
model="alibaba/wan-2.7-i2v",
messages=[{"role":"user","content":"hello"}],
)
# Try Grok Imagine Image Quality — same client, same key
client.chat.completions.create(
model="xai/grok-imagine-image-quality",
messages=[{"role":"user","content":"hello"}],
)