Claude Opus 4.8

Frontier

AnthropicChatclaude-opus-4-8

Anthropic flagship for complex writing, analysis, and agentic coding. 1M context.

Sampling parameters are stripped by the gateway (adaptive thinking models reject them).

Capabilities

Tool callingVisionJSON modePrompt cache

Recommended for

complex writing
nuanced analysis
agentic coding

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-opus-4-8

Reached by these routing aliases:

frontier-bestfallback #1 · GPT-5.5 → Claude Opus 4.8 → Gemini 3.1 Pro
enterpriseprimary pick · Claude Opus 4.8 → GPT-5.5 → GPT-5.4
code-premiumfallback #1 · GPT-5.3 Codex → Claude Opus 4.8 → Claude Sonnet 5
vision-bestfallback #2 · Gemini 3.1 Pro → GPT-5.5 → Claude Opus 4.8

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-opus-4-8 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-opus-4-8",
    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.