Anthropic: Claude Opus 5.5
Anthropic
Sep 22, 2026
anthropic/claude-opus-5.5
Context Length1,000,000
Input Price$4.00/1M tokens
Output Price$20.00/1M tokens
Max Output
Blended Price$8.00/1M tokens

Claude Opus 5.5 is the first model in Anthropic's Claude 5.5 family, performing at the level of Claude Fable 5.1 on most work while costing roughly 40% less to run than Claude Opus 5 on typical workloads, with output generated over 30% faster. It supports text and image input with a 1M-token context window, adaptive thinking that is always on (default effort: medium, and cannot be disabled as an anti-distillation measure), and incorporates Fable 5.1's safeguards for cybersecurity, biology, and distillation, detailed in a 230-page system card. Recommended as a daily driver for coding, financial and document workflows, and computer use.

Input Modalitiestext, image, file
Output Modalitiestext
Modalitytext+image+file->text
TokenizerClaude
Provider Details

anthropic

JSON
Input Cost$4.00/1M tokens
Output Cost$20.00/1M tokens
Context Length1,000,000
Max Output128,000
Latency-
Throughput-
Pricing Details
Input Cost$4.00/1M tokens
Output Cost$20.00/1M tokens
Input Cache Read Cost$0.20/1M tokens
Input Cache Write Cost$5.00/1M tokens
Input Cache Write 1h$8.00/1M tokens
Input Cache Write 5m$5.00/1M tokens
Supported Parameters
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", "xhigh", "max"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"
structured_outputsEnforce a structured output schema.
bool
true | false
Other
verbosity
string
"low", "medium", "high"

Throughput

Latency

Make Your First API Call

Get started by making your first request to FastRouter. Use your favorite SDK or make direct API calls.

Copy
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-opus-5.5", # Replace with your model ID
messages=[
{ "role": "user", "content": "What is the meaning of life?" }
]
)
print(completion.choices[0].message.content)

Before you run this code:

  1. Replace <FASTROUTER_API_KEY> with your actual API key
  2. Install the OpenAI SDK: pip install openai
  3. Run the code, then check your dashboard for analytics
Frequently Asked Questions

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anthropic/claude-fable-5

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anthropic/claude-opus-5

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anthropic/claude-opus-4.8

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anthropic/claude-sonnet-4.6

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anthropic/claude-4.5-sonnet

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking. Sonnet 4.5 also introduces stronger agentic capabilities, including improved tool orchestration, speculative parallel execution, and more efficient context and memory management. With enhanced context tracking and awareness of token usage across tool calls, it is particularly well-suited for multi-context and long-running workflows. Use cases span software engineering, cybersecurity, financial analysis, research agents, and other domains requiring sustained reasoning and tool use.

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Model scores sourced from ArtificialAnalysis