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 3.8 Flash google/gemini-3.8-flash | GPT Image 2.5 Sunburst openai/gpt-image-2.5-sunburst | |
|---|---|---|
| Provider | OpenAI | |
| Family | Gemini 3 | |
| Modality | text | image |
| Context window | 1,048,576 tok | — |
| Max output | 65,536 tok | — |
| Released | 2026-09-04 | 2026-09-10 |
| Input price | $0.750 /1M | $0.030 /img |
| Output price | $3.75 /1M | — |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | yes | — |
| Reasoning | — | — |
| Prompt caching | — | — |
Our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.
OpenAI's most capable image generation and editing model. It accepts text and image inputs and produces images with low, medium, high, xhigh, max, and auto quality settings.
# 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 3.8 Flash
client.chat.completions.create(
model="google/gemini-3.8-flash",
messages=[{"role":"user","content":"hello"}],
)
# Try GPT Image 2.5 Sunburst — same client, same key
client.chat.completions.create(
model="openai/gpt-image-2.5-sunburst",
messages=[{"role":"user","content":"hello"}],
)