Claude Fable 5 vs GPT-6 Astra Law
As of November 10, 2026, Claude Fable 5 and GPT-6 Astra Law cost the same: $10.00 per 1M input tokens and $50.00 per 1M output tokens. Claude Fable 5 has the larger context window: 1M tokens versus 922K.
Claude Fable 5 vs GPT-6 Astra Law side by side
| Claude Fable 5 | GPT-6 Astra Law | |
|---|---|---|
| Input, per 1M tokens | $10.00 | $10.00 |
| Output, per 1M tokens | $50.00 | $50.00 |
| Cache read, per 1M tokens | $1.00 | $1.00 |
| Cache write, per 1M tokens | $12.50 | – |
| Context window | 1,000,000 tokens | 922,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 10 | 2 |
| Price shown is from | Anthropic | OpenAI |
| Added to LiteLLM | June 2026 | October 31, 2026 |
Cheapest provider for each
- Claude Fable 5: Databricks at $10.00 input and $50.00 output per 1M tokens (
databricks/databricks-claude-fable-5) - GPT-6 Astra Law: OpenAI at $10.00 input and $50.00 output per 1M tokens (
gpt-6-astra-law)
When to pick which
Pick Claude Fable 5 for
- Available from 10 providers through LiteLLM, vs 2.
From differences in the data above only; where the data is equal, no reason is given.
Call Claude Fable 5 or GPT-6 Astra Law with LiteLLM
Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.
from litellm import completion
messages = [{"role": "user", "content": "Hello!"}]
# Claude Fable 5
response = completion(model="claude-fable-5", messages=messages)
# GPT-6 Astra Law
response = completion(model="gpt-6-astra-law", messages=messages)
# Claude Fable 5, falling back to GPT-6 Astra Law if the call fails
response = completion(model="claude-fable-5", messages=messages, fallbacks=["gpt-6-astra-law"])FAQ
Which is cheaper, Claude Fable 5 or GPT-6 Astra Law?
They cost the same: $10.00 per 1M input tokens and $50.00 per 1M output tokens, as of November 10, 2026.
Which has the larger context window, Claude Fable 5 or GPT-6 Astra Law?
Claude Fable 5 has the larger context window: 1,000,000 tokens, versus 922,000 for GPT-6 Astra Law.
Can I switch from Claude Fable 5 to GPT-6 Astra Law without changing my code?
Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "claude-fable-5" to "gpt-6-astra-law", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.