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claude-opus-4-6 API pricing & access

claude-opus-4-6 API pricing: $5 per 1M tokens. claude-opus-4-6. Supports text, image input and text output. Listed specifications follow …

claude-opus-4-6 API access

claude-opus-4-6. Supports text, image input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

Compare supported API endpoints and capabilities, then access claude-opus-4-6 through the unified API gateway.

Category: text
Context length: 1000000 tokens
Maximum output: 128000 tokens
Supported APIs: Anthropic Messages API, OpenAI Chat Completions API
API endpoints: POST /v1/messages, POST /v1/chat/completions
Input modalities: text, image
Output modalities: text
Capabilities: vision, reasoning

claude-opus-4-6 API pricing

Base input price: $5 per 1M tokens
Base output price: $25 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About claude-opus-4-6

Claude Opus 4.6 accepts text and images and returns text. It remains relevant to existing Claude workflows for code analysis, document reasoning and multi-step task evaluation. Anthropic currently lists it as an available legacy model.

Check route availability, pricing, thinking parameters and limits before use. Applications planning an upgrade can compare Opus 5.5, using their own regression cases instead of assuming that changing the model name preserves behavior.

Official reference, checked 2026-10-14.

Use cases and prompting

Provide a minimal reproduction and acceptance criteria for code analysis; ask for the evidence behind proposed changes.
Require page or passage citations for document tasks and independently check key conclusions.
Before migration, compare identical tool-call, output-format and streaming-completion regression cases.
Review Claude Opus 5.5 and the API documentation when planning an upgrade.

How to call claude-opus-4-6

claude-opus-4-6 is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "claude-opus-4-6", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="claude-opus-4-6",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Python (anthropic SDK)

from anthropic import Anthropic

client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
    model="claude-opus-4-6",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about claude-opus-4-6

What is claude-opus-4-6?

claude-opus-4-6. Supports text, image input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

How do I call claude-opus-4-6?

Create an API key with access to claude-opus-4-6, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is claude-opus-4-6 priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

What is the context window of claude-opus-4-6?

The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.

What is the maximum output of claude-opus-4-6?

The model catalog lists a maximum output of 128000 tokens. Your request settings may set a lower limit.

How should I evaluate claude-opus-4-6 for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

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