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Claude Haiku 5.5

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AnthropicReleased Oct 7, 2026anthropic/claude-haiku-5.5
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Claude Haiku 5.5 is Anthropic's fastest and most efficient model in the Claude 5.5 family, built for high-volume, latency-sensitive work such as classification, routing, extraction, summarization, and subagent tasks. It accepts text and images and returns text, with a 1M-token context window and up to 128K output tokens. It is the first Haiku-class model with adaptive thinking and an adjustable effort setting (default: medium), and is priced at $0.10/$0.50 per million tokens for prompts up to 100K tokens, rising to $0.50/$2.50 above that. It uses the newer tokenizer shared with Claude 4.7 and later, so the same text counts as roughly 30% more tokens than on Haiku 4.5.

Context
1M
Max output
128K
Input /1M
$0.10
Output /1M
$0.50
Blended /1M
$0.20
AcceptsImageTextProducesTextTokenizer Claude

Providers

FastRouter routes your requests to this provider. You can also bring your own key.

Pricing tier
Anthropic Claude logo
Anthropic Claude
anthropic
Input /1M$0.10
Output /1M$0.50
Context1M
Max output128K
Latency—
Throughput—
Supports tool callingSupports structured (JSON) outputSupports reasoning

Supported parameters

Request parameters you can send with this model.

Parameter
Type
Anthropic Claude
Core (Sampling & basic generation)
max_tokensMaximum tokens to generate.
number
1 to 128000
stopSequences where generation stops.
array
Reasoning (Reasoning Controls)
include_reasoningInclude reasoning trace in the response.
bool
true | false
reasoningProvider-specific reasoning configuration.
string
"low", "medium", "high"default: medium
Tool Use (Function Calls & Tools)
tool_choiceHow the model should use tools.
string
"auto", "any", "tool", "none"
toolsTool/function definitions available to the model.
array
Output & Format (Response Formatting)
response_formatStructured output format configuration.
string
"text", "json_object", "json_schema"

Performance

Median throughput and time to first token per provider over the last week.

Throughput

Latency

Make your first API call

OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.

Full API docs
Replace <FASTROUTER_API_KEY> with your key · Get your key →Install
OpenAI SDKHTTP
from openai import OpenAI
client = OpenAI(
base_url="https://api.fastrouter.ai/api/v1", # FastRouter base URL
api_key= "<FASTROUTER_API_KEY>", # Replace with your FastRouter API key
)
completion = client.chat.completions.create(
model="anthropic/claude-haiku-5.5", # Replace with your model ID
messages=[
{ "role": "user", "content": "What is the meaning of life?" }
]
)
print(completion.choices[0].message.content)

Frequently asked questions

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Compare Claude Haiku 5.5 with

Side by side: price per provider, context window, benchmarks and speed.

Model scores sourced from ArtificialAnalysis