Claude Haiku 4.5

Mid

AnthropicChatclaude-haiku-4-5-20251001

Fast, cheap Claude with 200k context. Good fit for classification + summarisation.

Capabilities

Tool callingVisionJSON modePrompt cache

Recommended for

classification
summarisation
cost-sensitive chat

Using this model through Conduix

Call it by its id, or let a routing alias pick it as part of a governed, cross-provider chain with automatic failover.

Direct model idclaude-haiku-4-5-20251001

Reached by these routing aliases:

frontier-budgetfallback #1 · GPT-5.4 mini → Claude Haiku 4.5 → Gemini 3.1 Flash-Lite → DeepSeek V4 Flash
code-fastfallback #2 · GPT-5.4 mini → Codestral → Claude Haiku 4.5

Routing relationships are operational — chains adapt to provider availability and your org's policy — not a contractual guarantee that a specific model serves a given request.

Get started

Conduix is OpenAI-API-compatible — point any OpenAI SDK at https://api.conduix.ai/v1 and pass claude-haiku-4-5-20251001 as the model.

from conduix import Conduix

client = Conduix(api_key="cx_live_YOUR_KEY")  # base URL is built in

response = client.chat.completions.create(
    model="claude-haiku-4-5-20251001",
    messages=[{"role": "user", "content": "Hello, Conduix!"}],
)
print(response.choices[0].message.content)

Tool calling: Pass a tools array and the model calls your functions.
Vision: Accepts image inputs — add image_url parts to a message.
JSON mode: Set response_format for guaranteed-valid JSON output.
Prompt cache: Repeated prompt context is billed at a reduced rate.

The response's x-conduix-model-served header tells you exactly which model answered. See the quickstart for keys, headers, and usage.