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Claude Haiku 4.5

everyais/claude-haiku-4-5

Claude Haiku 4.5 (everyais/claude-haiku-4-5) availability, capabilities, context limits, and public reference pricing on everyais.

Model family claudeInput Text · ImageOutput Text
Available nowUnstable in the last 24h

Method

The page starts with current public catalog metadata and reference costs; operational metrics are added only when measured samples are available.

Source and update

GET /models/catalog

Updated

Model type
Chat
Released
2025-10-15
Context window
200K
Price unit
Per 1M tokens
Maximum output
64,000
Model reference price (USD)
Input $1 · Output $5 /1M
Cache reference price (USD)
Cache read $0.1 /1M · Cache write $1.25 /1M

Capabilities

  • Streaming
  • Tool use
  • Vision
  • JSON
  • Reasoning
  • sampling
  • structured_outputs
  • parallel_tool_calls

Supported endpoints

  • /v1/chat/completions

Usage and availability trend

Daily tokensInputOutput
50K25K02026-08-312026-09-082026-08-31 · Requests 188 · Input 2,997 · Output 20,658 · Availability 98.94%2026-09-01 · Requests 2 · Input 28 · Output 12 · Availability Insufficient sample2026-09-02 · Requests 1 · Input 15 · Output 5 · Availability Insufficient sample2026-09-03 · Requests 8 · Input 18,778 · Output 2,051 · Availability Insufficient sample2026-09-04 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-05 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-06 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-07 · Requests 0 · Input 0 · Output 0 · Availability Insufficient sample2026-09-08 · Requests 16 · Input 18,762 · Output 2,550 · Availability Insufficient sample

Last 9 days · 2026-09-08 Input 18,762 · Output 2,550 tokens.

Daily availability (success rate %)

Insufficient sample — not enough requests to publish a success rate.

Code example

Use the OpenAI SDK by changing only base_url.

from openai import OpenAI

client = OpenAI(
    api_key="everyais_...",
    base_url="https://api.everyais.com/v1",
)

response = client.chat.completions.create(
    model="everyais/claude-haiku-4-5",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)
Full API docs

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