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-6 Astra openai/gpt-6-astra | Claude Fable 5.1 anthropic/claude-fable-5.1 | |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Family | ||
| Modality | text | text |
| Context window | 1,050,000 tok | 1,000,000 tok |
| Max output | 128,000 tok | 128,000 tok |
| Released | 2026-09-10 | 2026-09-01 |
| Input price | $10.00 /1M | $10.00 /1M |
| Output price | $50.00 /1M | $50.00 /1M |
| Cache read | — | — |
| Tools | — | yes |
| Streaming | yes | yes |
| Vision | — | yes |
| JSON mode | — | yes |
| Reasoning | — | — |
| Prompt caching | — | — |
GPT-6 Astra is OpenAI's most capable model, built for complex reasoning, coding, computer use, research, and document creation.
Claude Fable 5.1 is Anthropic's next model in the Fable family, with improvements in agentic coding, long-running agentic workflows, knowledge work, front-end and visual code generation, and finance and analysis tasks. It supports adaptive thinking 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 GPT-6 Astra
client.chat.completions.create(
model="openai/gpt-6-astra",
messages=[{"role":"user","content":"hello"}],
)
# Try Claude Fable 5.1 — same client, same key
client.chat.completions.create(
model="anthropic/claude-fable-5.1",
messages=[{"role":"user","content":"hello"}],
)