Anthropic

anthropic/claude-opus-5

1M context · $2.00 / M input tokens · $10.00 / M output tokens

Claude Opus 5 is Anthropic's flagship Opus model for deep reasoning, long-horizon agentic work, and complex software engineering that needs sustained focus across multi-step tasks.

Get API Key
24H Status Monitor

Historical uptime data is collected over time. Current status reflects the latest health check.

Pricing

Pay-per-use

No upfront costs, pay only for what you use

40% of official price
Input$5.00 / M$2.00 / M Tokens
Output$25.00 / M$10.00 / M Tokens
Cached input$0.50 / M$0.20 / M Tokens
Cache writes$6.25 / M$2.50 / M Tokens

API Usage

API Access Guide

Base URLhttps://api.ourtoken.ai/v1
API Endpointmessages
Full URLhttps://api.ourtoken.ai/v1/messages
Model IDclaude-opus-5
Get API Key

Code examples

Use the OurToken API endpoint for this model. The examples below use direct HTTP requests and the recommended endpoint for the model family.

curl https://api.ourtoken.ai/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "claude-opus-5",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }'

Messages API Reference

Create a Claude Messages-compatible response through OurToken. This format uses a messages array, max_tokens, optional system prompts, tools, and thinking settings.

Authorization

Content-Typeapplication/json
AuthorizationBearer YOUR_API_KEY

Request Body

FieldTypeRequiredDescription
modelstringRequiredModel ID to call.
messagesarray<object>RequiredConversation messages sent to the model.
systemstring | array<object>OptionalOptional system prompt.
max_tokensintegerRequiredMaximum number of output tokens.
temperaturenumberOptionalSampling temperature.
top_pnumberOptionalNucleus sampling parameter.
top_kintegerOptionalTop-k sampling parameter.
streambooleanOptionalWhether to return a streaming response.
stop_sequencesarray<string>OptionalSequences that stop generation.
toolsarray<object>OptionalTools available to the model.
tool_choiceobjectOptionalControls how the model selects tools.
thinkingobjectOptionalThinking configuration for supported Claude models.
metadataobjectOptionalOptional request metadata.

Response Body

FieldTypeRequiredDescription
idstringRequiredUnique message identifier.
type"message"RequiredObject type returned by the Messages API.
role"assistant"RequiredRole of the returned message.
contentarray<object>RequiredArray of content blocks returned by the model.
content[].textstringOptionalText inside a returned content block.
modelstringRequiredModel that produced the response.
stop_reasonstringOptionalReason generation stopped.
usageobjectOptionalToken usage information for the message.
usage.input_tokensintegerOptionalInput token count.
usage.output_tokensintegerOptionalOutput token count.
usage.cache_creation_input_tokensintegerOptionalTokens written to prompt cache.
usage.cache_read_input_tokensintegerOptionalTokens read from prompt cache.

Model Introduction

Anthropic claude-opus-5

Claude Opus 5 is Anthropic's flagship Opus model for deep reasoning, long-horizon agentic work, and complex software engineering that needs sustained focus across multi-step tasks.

Claude Opus 5 is a step-change improvement over Claude Opus 4.8, with the largest gains in deep reasoning, agentic and long-horizon tasks, and test-time compute scaling. It uses a 1M token context window with up to 128K output tokens, making it suitable for end-to-end software tasks, code review, visual analysis, and coordinating parallel subagents.

Why It Looks Great

  • Anthropic's flagship Opus model for demanding reasoning, coding, and long-horizon agentic work.
  • 1M token context window for large codebases, extended documents, and multi-step planning.
  • Adaptive thinking with selectable effort levels for latency and token efficiency.
  • Strong at end-to-end software tasks, code review, and coordinating parallel subagents.
  • Accessible via the OurToken unified API at 40% of the standard Anthropic price.

Key Features

  • Context Window: 1M tokens
  • Max Output: 128K tokens
  • Vision: Supported
  • Function Calling: Supported
  • Adaptive Thinking: Supported
  • Input: Text, Image
  • Output: Text

Specifications

ProviderAnthropic
Model TypeLarge Language Model (LLM)
ArchitectureTransformer (Frontier)
Context Window1M tokens
Max Output128K tokens
InputText, Image
OutputText
VisionSupported
Function CallingSupported
Adaptive ThinkingSupported

Claude Opus 5 API Features for Developers

Use Claude Opus 5 API on OurToken for clear pricing, Claude Code Opus 5 workflows, Anthropic routing, and long-context agentic development.

API Access

Call Claude Opus 5 API through OurToken's unified endpoint while keeping a familiar integration path. Teams can compare provider behavior, token costs, and production readiness without maintaining separate Anthropic routing code for every evaluation environment.

Official Price Ratio

OurToken lists Claude Opus 5 at $2.00 input and $10.00 output per million tokens, based on the current project data. That gives teams 40% of official API pricing before scaling coding, research, or agent workloads.

Claude Code

Use Claude Code Opus 5 workflows for repository analysis, debugging, refactoring, and patch planning. Developers searching for claude code opus 5 can evaluate how Opus 5 handles multi-file context and review-heavy software tasks in production.

Anthropic Workflows

Route Anthropic Opus 5 requests through OurToken when your product needs frontier reasoning, tool-aware responses, and provider flexibility. Compare Claude Opus 5 against Claude Opus 4.8 and Claude Fable 5 in one API surface.

Context Handling

Use the project-defined 1M context window and 128K max output for long documents, code-heavy prompts, research notes, and extended task instructions. Keep model planning grounded in current OurToken data instead of unverified competitor limits.

Vision Tools

Send text and image inputs for document understanding, chart analysis, visual reasoning, and multimodal assistants. Claude Opus 5 API can also support function calling and structured output patterns when applications need predictable downstream automation paths.

How to Use Claude Opus 5 API on OurToken

Create an API key, choose Claude Opus 5 API, compare pricing, then test Claude Code and Anthropic agentic workflows.

Generate API Key

Create an OurToken API key and store it in a secure server-side environment variable. This gives your backend a stable credential for Claude Opus 5 API calls without exposing secrets in browser or client-side code.

01

Select Model ID

Use claude-opus-5 as the model value when sending chat completions requests. Document the model ID clearly for developers comparing Claude Opus 5 API access, Anthropic providers, and production routing options across environments.

02

Call Unified API

Send requests through OurToken's unified API endpoint with your OpenAI-compatible client. This keeps Claude Opus 5 Anthropic access, pricing review, and model comparison inside one integration instead of separate provider-specific code paths.

03

Compare Pricing

Before scaling traffic, compare the OurToken price against official API pricing and expected token volume. Use the current $2.00 input and $10.00 output rates to estimate Claude Opus 5 API cost for real production workloads.

04

Test Claude Code

Run representative Claude Code Opus 5 tasks such as code review, debugging, refactoring, patch planning, and repository-aware implementation. Include files, failing tests, coding conventions, and acceptance criteria so the model can reason over practical constraints.

05

Validate Production Fit

Measure accuracy, latency, token usage, structured output behavior, and tool-call reliability before choosing a production route. Track whether Opus 5 agentic workflows reduce review cycles compared with smaller or cheaper models in practice.

06

Claude Opus 5 FAQ

Answers about Claude Opus 5 API pricing, Claude Code workflows, Anthropic access, context limits, and comparison with Claude Fable 5.

01

What is Claude Opus 5 API?

Claude Opus 5 API is an API route for using Anthropic's Opus 5 model in applications that need deep reasoning, long-horizon agentic work, image input, function calling, and structured output. On OurToken, developers can review model access, current pricing, and production evaluation guidance in one place.
02

How much does Claude Opus 5 pricing cost on OurToken?

Claude Opus 5 API pricing on OurToken follows the current project data: $2.00 per million input tokens and $10.00 per million output tokens. The page shows original pricing as $5.00 and $25.00, giving teams 40% of official API pricing for planning workloads carefully.
03

How does Claude Opus 5 compare with Claude Fable 5?

Claude Opus 5 is positioned as Anthropic's flagship Opus model at roughly half the token cost of Claude Fable 5, while approaching Fable-tier performance on demanding agentic and long-horizon tasks. Teams can compare Claude Opus 5 vs Fable 5 by cost, latency, and reasoning depth on their own prompts.
04

Is Claude Opus 5 API useful for Claude Code workflows?

Yes. Claude Code Opus 5 workflows support code review, debugging, refactoring, patch planning, and repository-aware implementation. Developers searching for claude code opus 5 usually want a frontier model for multi-file changes, agentic coding loops, and review-heavy engineering tasks in production.
05

What context window does Claude Opus 5 use here?

This OurToken page uses the project's current Claude Opus 5 data: a 1M token context window and up to 128K output tokens. Some competitor pages may describe different limits, so use the current project data when planning your integration and estimating prompt size for production.
06

How should I evaluate Claude Opus 5 API providers?

Compare Claude Opus 5 Anthropic access by availability, latency, reliability, price, image input, structured output, and tool calling. OurToken helps teams test Anthropic Opus 5 alongside other supported models through one unified API, but production decisions should use your own prompts and traffic patterns first.