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.
| Claude Opus 5.5 anthropic/claude-opus-5.5 | GPT Image 2.5 Sunburst openai/gpt-image-2.5-sunburst | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Family | Claude 4 | |
| Modality | text | image |
| Context window | 1,000,000 tok | — |
| Max output | 128,000 tok | — |
| Released | 2026-09-23 | 2026-09-10 |
| Input price | $4.00 /1M | $0.030 /img |
| Output price | $20.00 /1M | — |
| Cache read | — | — |
| Tools | yes | — |
| Streaming | yes | — |
| Vision | yes | — |
| JSON mode | yes | — |
| Reasoning | yes | — |
| Prompt caching | — | — |
Claude Opus 5.5 is Anthropic's model for long-running agentic coding and knowledge work. It combines a one million token context window with adaptive thinking that is always on, a 128K token maximum output, and a medium default effort level.
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 Claude Opus 5.5
client.chat.completions.create(
model="anthropic/claude-opus-5.5",
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"}],
)