LiteLLM now supports Claude Fable 5.2 on Day 0. Call it through the LiteLLM AI Gateway and track spend, rate limits and logs in one place.
Claude Fable 5.2 pricing
- Input: $8.00 / MTok
- Output: $40.00 / MTok
- Cache read: $0.20 / MTok
- Cache write: $10.00 / MTok for 5 minutes, $16.00 / MTok for 1 hour
- Batch: $4.00 / MTok input and $20.00 / MTok output
Input and output both cost 20% less than Claude Fable 5.1.
| Model | Input / MTok | Output / MTok | Cache read / MTok |
|---|---|---|---|
| Claude Fable 5.2 | $8.00 | $40.00 | $0.20 |
| Claude Fable 5.1 | $10.00 | $50.00 | $0.25 |
| Claude Opus 5.5 | $4.00 | $20.00 | $0.20 |
Prices on every provider: https://models.litellm.ai/models
What's new in Claude Fable 5.2
- 20% cheaper than Fable 5.1 on input and output, with cache reads down from $0.25 to $0.20
- 1M-token context window and up to 128K output tokens
- Adaptive thinking is always on, with five effort levels from
lowtomaxandhighas the default - Fast mode is available on the Claude API at $16 / MTok input and $80 / MTok output
Use Claude Fable 5.2 with LiteLLM
Pricing landed in PR #50715. No upgrade needed: open Price Data under Models + Endpoints in the UI and click Reload Price Data (or POST /reload/model_cost_map), on v1.76.0 and above.
- Anthropic
- Claude Platform on AWS
1. Setup config.yaml
model_list:
- model_name: claude-fable-5-2
litellm_params:
model: anthropic/claude-fable-5-2
api_key: os.environ/ANTHROPIC_API_KEY
2. Start the proxy
docker run -d \
-p 4000:4000 \
-e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
-v $(pwd)/config.yaml:/app/config.yaml \
ghcr.io/berriai/litellm:v1.106.2 \
--config /app/config.yaml
1. Setup config.yaml
model_list:
- model_name: claude-fable-5-2
litellm_params:
model: bedrock/claude_platform/claude-fable-5-2
aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID
aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY
aws_region_name: us-east-1
2. Start the proxy
docker run -d \
-p 4000:4000 \
-e AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID \
-e AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY \
-v $(pwd)/config.yaml:/app/config.yaml \
ghcr.io/berriai/litellm:v1.106.2 \
--config /app/config.yaml
3. Test it!
curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer $LITELLM_KEY' \
--data '{
"model": "claude-fable-5-2",
"messages": [
{
"role": "user",
"content": "what llm are you"
}
]
}'
Anthropic also serves Fable 5.2 on Amazon Bedrock as anthropic.claude-fable-5-2, on Google Cloud and in Microsoft Foundry as claude-fable-5-2. Cost map entries for those routes are in flight in PR #50713 and PR #50707; until one of them merges, requests on those routes bill at $0 in the gateway.
FAQ
How much does Claude Fable 5.2 cost?
$8 per 1M input tokens and $40 per 1M output tokens. Cache reads cost $0.20 per 1M tokens and batch requests cost $4 and $20.
Is Claude Fable 5.2 cheaper than Fable 5.1?
Yes, by 20% on both input and output. Fable 5.1 costs $10 and $50 per 1M tokens.
What is the context window of Claude Fable 5.2?
1M tokens, with up to 128K output tokens per request.
How do I call Claude Fable 5.2 with an OpenAI-compatible API?
Add anthropic/claude-fable-5-2 to your LiteLLM config, then send a standard /chat/completions request to the proxy with "model": "claude-fable-5-2".
Which models can read Claude Fable 5.2 thinking blocks?
Only Fable 5.2 and Mythos 5.2. A fallback onto it keeps the conversation's reasoning; a fallback off it drops it, Opus 5.5 and Fable 5.1 included.
Why does Claude Fable 5.2 return "The block is bound to a different conversation"?
Editing system, tools or an earlier message after a thinking block trips the prefix check, which now applies to every account.
Does Claude Fable 5.2 support the computer_20251124 tool?
No. Use computer_toolset_20260801; the earlier tool returns a 400 everywhere except Bedrock.
Can I force a tool call on Claude Fable 5.2?
No, tool_choice of any or tool returns a 400. LiteLLM maps tool_choice: "required" onto any, so keep it at auto and use strict: true.
Feedback
Questions and feedback go in GitHub discussions.


