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.
| Recraft V4.1 Flash recraft/recraftv4-1-flash | Gemini 3.1 Pro google/gemini-3.1-pro | |
|---|---|---|
| Provider | Recraft | |
| Family | Recraft | Gemini 3 |
| Modality | image | text |
| Context window | — | 1,000,000 tok |
| Max output | — | 65,536 tok |
| Released | 2026-10-14 | 2026-05-22 |
| Input price | $0.0070 /img | $2.00 /1M |
| Output price | — | $12.00 /1M |
| Cache read | — | $0.200 /1M |
| Tools | — | yes |
| Streaming | — | yes |
| Vision | — | yes |
| JSON mode | — | yes |
| Reasoning | — | yes |
| Prompt caching | — | yes |
Recraft V4.1 Flash is Recraft's fastest and lowest-cost image model, generating a 1K raster image in about 1.3 seconds with quality close to Recraft V4.1. Built for high-volume generation and rapid iteration, with strong results for photography, portraits, atmospheric scenes, mixed media, and logo concepts. It outputs raster images only and does not support styles.
Google's most intelligent Gemini model with improved reasoning, a medium thinking level, and a 1M token context window.
# 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 Recraft V4.1 Flash
client.chat.completions.create(
model="recraft/recraftv4-1-flash",
messages=[{"role":"user","content":"hello"}],
)
# Try Gemini 3.1 Pro — same client, same key
client.chat.completions.create(
model="google/gemini-3.1-pro",
messages=[{"role":"user","content":"hello"}],
)