Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters. It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.
OpenAI-compatible — keep the SDK you already use
https://api.orcarouter.ai/v1https://api.orcarouter.aifrom openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key="$ORCAROUTER_API_KEY",
)
response = client.chat.completions.create(
model="anthropic/claude-opus-4.8",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)include_reasoningmax_tokensreasoningresponse_formatstopstreamstructured_outputstemperaturetool_choicetoolstop_ktop_p| Input / 1M tokens | $5.00 |
| Output / 1M tokens | $25.00 |
| Cache read / 1M | $0.500 |
| Cache write / 1M | $6.25 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
GET /api/public/models/anthropic/claude-opus-4.8Open @misc{orcarouter_claude_opus_4_8,
title = {Claude Opus 4.8 API},
author = {Anthropic},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/anthropic/claude-opus-4.8}
}Anthropic. (2026). Claude Opus 4.8 API. OrcaRouter. https://www.orcarouter.ai/models/anthropic/claude-opus-4.8