Claude Haiku 5.5 API Pricing and Day 0 Support on LiteLLM

LiteLLM now supports Claude Haiku 5.5 on Day 0. Use it across Anthropic, Bedrock, Gemini Enterprise Agent Platform, and Azure through the LiteLLM AI Gateway, with spend, rate limits, and logging in one place.

Claude Haiku 5.5 pricing​

• Input: $0.10 / MTok for prompts up to 100K tokens, $0.50 / MTok above
• Output: $0.50 / MTok, or $2.50 / MTok above 100K
• Cache read: $0.01 / MTok, or $0.05 / MTok above 100K
• Batch: 50% off input and output

Prices on every provider: https://models.litellm.ai/models

What's new in Claude Haiku 5.5​

• 90% cheaper than Haiku 4.5 for prompts up to 100K tokens, and around 75% less to run on average, per Anthropic
• 72.4% on OSWorld 2.1, up from Haiku 4.5's 15.7%
• 1M-token context, up to 128K output tokens

Use Claude Haiku 5.5 with LiteLLM​

Pricing landed in PR #45108. 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.

model_list:
  - model_name: claude-haiku-5-5
    litellm_params:
      model: anthropic/claude-haiku-5-5
      api_key: os.environ/ANTHROPIC_API_KEY

docker run -d \
  -p 4000:4000 \
  -e ANTHROPIC_API_KEY=$ANTHROPIC_API_KEY \
  -v $(pwd)/config.yaml:/app/config.yaml \
  ghcr.io/berriai/litellm:v1.104.0 \
  --config /app/config.yaml

model_list:
  - model_name: claude-haiku-5-5
    litellm_params:
      model: bedrock/anthropic.claude-haiku-5-5
      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

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:v1.104.0 \
  --config /app/config.yaml

model_list:
  - model_name: claude-haiku-5-5
    litellm_params:
      model: vertex_ai/claude-haiku-5-5
      vertex_project: os.environ/VERTEX_PROJECT
      vertex_location: global

docker run -d \
  -p 4000:4000 \
  -e VERTEX_PROJECT=$VERTEX_PROJECT \
  -e GOOGLE_APPLICATION_CREDENTIALS=/app/credentials.json \
  -v $(pwd)/config.yaml:/app/config.yaml \
  -v $(pwd)/credentials.json:/app/credentials.json \
  ghcr.io/berriai/litellm:v1.104.0 \
  --config /app/config.yaml

model_list:
  - model_name: claude-haiku-5-5
    litellm_params:
      model: azure_ai/claude-haiku-5-5
      api_key: os.environ/AZURE_AI_API_KEY
      api_base: os.environ/AZURE_AI_API_BASE  # https://<resource>.services.ai.azure.com

docker run -d \
  -p 4000:4000 \
  -e AZURE_AI_API_KEY=$AZURE_AI_API_KEY \
  -e AZURE_AI_API_BASE=$AZURE_AI_API_BASE \
  -v $(pwd)/config.yaml:/app/config.yaml \
  ghcr.io/berriai/litellm:v1.104.0 \
  --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-haiku-5-5",
  "messages": [
    {
      "role": "user",
      "content": "what llm are you"
    }
  ]
}'

FAQ​

How much does Claude Haiku 5.5 cost?​

$0.10 per 1M input tokens and $0.50 per 1M output tokens for prompts up to 100K tokens, and $0.50 and $2.50 above that. Cache reads cost $0.01 per 1M tokens.

What is the context window of Claude Haiku 5.5?​

1M tokens, with up to 128K output tokens per request.

How do I call Claude Haiku 5.5 with an OpenAI-compatible API?​

Add anthropic/claude-haiku-5-5 to your LiteLLM config, then send a standard /chat/completions request to the proxy with "model": "claude-haiku-5-5".

Feedback​

Questions and feedback go in GitHub discussion #45133.