bedrockavailablesupports_assistant_prefillsupports_computer_usesupports_function_callingsupports_native_structured_outputsupports_output_configsupports_parallel_tool_use_configsupports_pdf_inputsupports_prompt_cachingsupports_reasoningsupports_response_schemasupports_tool_choicesupports_tool_searchsupports_vision

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anthropic.claude-opus-4-5-20251101-v1:0 API on AvalAI

anthropic.claude-opus-4-5-20251101-v1:0

anthropic.claude-opus-4-5-20251101-v1:0 is an AI model from Anthropic that is available through AvalAI's OpenAI-compatible API.

Open dashboardCompare

Price display scale

Input price$5.00 / 1M tokens

Output price$25.00 / 1M tokens

Context window200,000 tokens

Maximum output64,000 tokens

Use anthropic.claude-opus-4-5-20251101-v1:0 with the AvalAI API

Keep the API key in an environment variable and send requests from server-side code.

Bash

curl https://api.avalai.ir/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $AVALAI_API_KEY" \
  -d '{"model": "anthropic.claude-opus-4-5-20251101-v1:0", "messages": [{"role": "user", "content": "Give a concise, practical solution."}]}'

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AVALAI_API_KEY"],
    base_url="https://api.avalai.ir/v1",
)

response = client.chat.completions.create(
    model="anthropic.claude-opus-4-5-20251101-v1:0",
    messages=[{"role": "user", "content": "Give a concise, practical solution."}],
)

print(response.choices[0].message.content)

JavaScript

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.AVALAI_API_KEY,
  baseURL: "https://api.avalai.ir/v1",
});

const response = await client.chat.completions.create({
  model: "anthropic.claude-opus-4-5-20251101-v1:0",
  messages: [{ role: "user", content: "Give a concise, practical solution." }],
});

console.log(response.choices[0].message.content);

Create an API keyRead the quickstart

Capabilities and endpoints

• Assistant prefill
• Computer use
• Function calling
• Structured output
• Output config
• Parallel tool use
• PDF input
• Prompt caching
• Reasoning
• Structured output
• Tool choice
• Tool search
• Vision

anthropic.claude-opus-4-5-20251101-v1:0 rate limits

Tier	RPM	TPM
Tier 1	1	40,000
Tier 2	5	100,000
Tier 3	10	150,000
Tier 4	15	200,000
Tier 5	50	300,000

Related models

• Claude Opus 4.5
• Claude Opus 4.8
• Claude Opus 4.7
• anthropic.claude-opus-4-6-v1

Frequently asked questions

What is the anthropic.claude-opus-4-5-20251101-v1:0 API on AvalAI?

Create an AvalAI API key and send the model ID anthropic.claude-opus-4-5-20251101-v1:0 to one of the supported endpoints shown on this page.

How much does the anthropic.claude-opus-4-5-20251101-v1:0 API cost on AvalAI?

The anthropic.claude-opus-4-5-20251101-v1:0 API on AvalAI costs $5.00 per 1M input tokens and $25.00 per 1M output tokens.

What is the token cost for anthropic.claude-opus-4-5-20251101-v1:0?

Current AvalAI pricing for anthropic.claude-opus-4-5-20251101-v1:0 is $5.00 / 1M tokens for input and $25.00 / 1M tokens for output.

What is the anthropic.claude-opus-4-5-20251101-v1:0 context window?

The recorded maximum input context for anthropic.claude-opus-4-5-20251101-v1:0 is 200,000 tokens.

What are the rate limits for anthropic.claude-opus-4-5-20251101-v1:0 on AvalAI?

On tier 5, anthropic.claude-opus-4-5-20251101-v1:0 on AvalAI supports up to 50 requests per minute and 300,000 tokens per minute.

What features does anthropic.claude-opus-4-5-20251101-v1:0 support on AvalAI?

anthropic.claude-opus-4-5-20251101-v1:0 on AvalAI supports Assistant prefill, Computer use, Function calling, Structured output, Output config, Parallel tool use, PDF input, Prompt caching, Reasoning, Structured output, Tool choice, Tool search, Vision.

What account tier is required to use anthropic.claude-opus-4-5-20251101-v1:0 on AvalAI?

Calling anthropic.claude-opus-4-5-20251101-v1:0 on AvalAI requires tier 1 or higher.

Third-party data and freshness

• Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)