anthropicavailablesupports_assistant_prefillsupports_computer_usesupports_function_callingsupports_native_structured_outputsupports_pdf_inputsupports_prompt_cachingsupports_reasoningsupports_response_schemasupports_tool_choicesupports_vision

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AnthropicAvailable on AvalAI

Claude Haiku 4.5 API on AvalAI

claude-haiku-4-5

Claude Haiku 4.5 is an AI model from Anthropic that is available through AvalAI's OpenAI-compatible API.

Open dashboardCompare

Price display scale

Input price$1.00 / 1M tokens

Output price$5.00 / 1M tokens

Context window200,000 tokens

Maximum output64,000 tokens

Release date2025-10-15

Use Claude Haiku 4.5 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": "claude-haiku-4-5", "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="claude-haiku-4-5",
    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: "claude-haiku-4-5",
  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
• PDF input
• Prompt caching
• Reasoning
• Structured output
• Tool choice
• Vision

Third-party model parameters

Third-party reference data does not change AvalAI endpoint support; use the capabilities and endpoints above.

• include_reasoning
• max_completion_tokens
• max_tokens
• reasoning
• response_format
• stop
• structured_outputs
• temperature
• tool_choice
• tools
• top_k
• top_p

Claude Haiku 4.5 rate limits

Tier	RPM	TPM
Basic	1	10,000
Tier 1	25	50,000
Tier 2	100	450,000
Tier 3	250	1,000,000
Tier 4	500	4,000,000
Tier 5	1,500	8,000,000

AvalAI and reference marketplace pricing

Token role	AvalAI final price0% platform fee	OpenRouter cost breakdown
		Model rate	Credit purchase fee	Effective OpenRouter cost after fee
Input price	$1.00 / 1M tokens	$1.00 / 1M tokens	5.5%	$1.06 / 1M tokens
Output price	$5.00 / 1M tokens	$5.00 / 1M tokens	5.5%	$5.28 / 1M tokens

AvalAI pricing is final with a 0% platform fee. The effective OpenRouter prices add its 5.5% credit purchase fee to the highest reported model rate, including long-context tiers. OpenRouter charges a 5.5% fee when credits are purchased ($0.80 minimum), so small credit purchases can have a higher effective cost. OpenRouter FAQ

Peer benchmark performance

Independent, sourced scores with no composite rating.

Artificial Analysis Agentic Index

10.4index

Score	Peer rank	Direction	Source and date
10.4 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Artificial Analysis Coding Index

43.9index

Score	Peer rank	Direction	Source and date
43.9 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Artificial Analysis Intelligence Index

22.5index

Score	Peer rank	Direction	Source and date
22.5 index	No comparable data	Higher is better	OpenRouter · 2026-09-05

Third-party model data

Source: OpenRouter

Independent sources supplement this context; AvalAI remains authoritative for pricing, availability, and endpoint support.

Reviewed snapshot 2026-09-05

Provider count

—

Context window range

200,000

Maximum output range

64,000

OpenRouter model input rate range

$1 / 1M

OpenRouter model output rate range

$5 / 1M

OpenRouter fee

5.5% credit purchase fee · OpenRouter fee details

Effective input price range after fee

$1.055 / 1M

Effective output price range after fee

$5.275 / 1M

Related models

• anthropic.claude-haiku-4-5-20251001-v1:0
• Claude Sonnet 5
• Claude Sonnet 4.6
• anthropic.claude-sonnet-4-5-20250929-v1:0

Frequently asked questions

What is the Claude Haiku 4.5 API on AvalAI?

Create an AvalAI API key and send the model ID claude-haiku-4-5 to one of the supported endpoints shown on this page.

How much does the Claude Haiku 4.5 API cost on AvalAI?

The Claude Haiku 4.5 API on AvalAI costs $1.00 per 1M input tokens and $5.00 per 1M output tokens.

What is the token cost for Claude Haiku 4.5?

Current AvalAI pricing for Claude Haiku 4.5 is $1.00 / 1M tokens for input and $5.00 / 1M tokens for output.

What is the Claude Haiku 4.5 context window?

The recorded maximum input context for Claude Haiku 4.5 is 200,000 tokens.

What are the rate limits for Claude Haiku 4.5 on AvalAI?

On tier 5, Claude Haiku 4.5 on AvalAI supports up to 1,500 requests per minute and 8,000,000 tokens per minute.

What features does Claude Haiku 4.5 support on AvalAI?

Claude Haiku 4.5 on AvalAI supports Assistant prefill, Computer use, Function calling, Structured output, PDF input, Prompt caching, Reasoning, Structured output, Tool choice, Vision.

What account tier is required to use Claude Haiku 4.5 on AvalAI?

Calling Claude Haiku 4.5 on AvalAI requires the Basic tier (tier 0) or higher.

Third-party data and freshness

• Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)
• OpenRouter marketplace · Last checked: 2026-09-05