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.
| Gemini 3.7 Flash google/gemini-3.7-flash | Wan 3.0 Prime (Text To Video) alibaba/wan-3.0-prime | |
|---|---|---|
| Provider | Alibaba | |
| Family | Gemini 3 | |
| Modality | text | video |
| Context window | 1,048,576 tok | — |
| Max output | 65,536 tok | — |
| Released | 2026-08-14 | 2026-09-01 |
| Input price | $0.750 /1M | $0.050 /sec |
| Output price | $3.75 /1M | — |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | yes | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Gemini 3.7 Flash is a highly capable, natively multimodal reasoning model optimized for agentic workflows and real-world tasks.
Wan 3.0 Prime Text-to-Video transforms written prompts into polished videos with accelerated generation, fluid motion, strong scene fidelity, and coherent visual storytelling. Built for fast creative iteration, it brings complex ideas to life while preserving visual detail and cinematic consistency throughout each shot.
# 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 Gemini 3.7 Flash
client.chat.completions.create(
model="google/gemini-3.7-flash",
messages=[{"role":"user","content":"hello"}],
)
# Try Wan 3.0 Prime (Text To Video) — same client, same key
client.chat.completions.create(
model="alibaba/wan-3.0-prime",
messages=[{"role":"user","content":"hello"}],
)