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.
| GPT Image 2.5 Sunburst openai/gpt-image-2.5-sunburst | MiniMax M3 minimax/m3 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Family | MiniMax M | |
| Modality | image | text |
| Context window | — | 1,000,000 tok |
| Max output | — | 4,096 tok |
| Released | 2026-09-10 | 2026-06-01 |
| Input price | $0.030 /img | $0.300 /1M |
| Output price | — | $1.20 /1M |
| Cache read | — | — |
| Tools | — | — |
| Streaming | — | yes |
| Vision | — | — |
| JSON mode | — | — |
| Reasoning | — | — |
| Prompt caching | — | — |
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.
MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support.
# 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 GPT Image 2.5 Sunburst
client.chat.completions.create(
model="openai/gpt-image-2.5-sunburst",
messages=[{"role":"user","content":"hello"}],
)
# Try MiniMax M3 — same client, same key
client.chat.completions.create(
model="minimax/m3",
messages=[{"role":"user","content":"hello"}],
)