Anthropic

anthropic/claude-opus-4-8

200K context · $2.00 / M input tokens · $10.00 / M output tokens

Claude Opus 4.8 is Anthropic's newest Opus model for complex reasoning, advanced coding, and deep research workloads that need high accuracy and careful analysis.

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Available

2026-07-21 11:58:40 UTC

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-4-8
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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-4-8",
    "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-4-8

Claude Opus 4.8 is Anthropic's newest Opus model for complex reasoning, advanced coding, and deep research workloads that need high accuracy and careful analysis.

Claude Opus 4.8 extends the Opus series for demanding professional tasks, with strong performance across multi-step reasoning, repository-aware coding, and research synthesis. With a 200K token context window and up to 32K output tokens, it is built for teams that need deep context, tool-ready responses, and predictable production evaluation.

Why It Looks Great

  • Newest Opus-class Anthropic model for demanding professional and research workloads.
  • 200K token context window for large documents, codebases, and extended reasoning.
  • Supports vision inputs for document understanding and multimodal workflows.
  • Strong coding performance across generation, debugging, review, and refactoring tasks.
  • Accessible via the OurToken unified API at 40% of the standard Anthropic price.

Key Features

  • Context Window: 200000 tokens
  • Max Output: 32000 tokens
  • Vision: Supported
  • Function Calling: Supported
  • Extended Thinking: Supported
  • Input: Text, Image
  • Output: Text

Specifications

ProviderAnthropic
Model TypeLarge Language Model (LLM)
ArchitectureTransformer (Frontier)
Context Window200000 tokens
Max Output32000 tokens
InputText, Image
OutputText
VisionSupported
Function CallingSupported
Extended ThinkingSupported

Claude Opus 4.8 API Features for Developers

Use Claude Opus 4.8 API on OurToken for clear official-pricing ratio access, Claude Code Opus 4.8 workflows, Anthropic routing, vision, and structured output.

API Access

Call Claude Opus 4.8 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-specific routing code for every evaluation environment.

Official Price Ratio

OurToken lists Claude Opus 4.8 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 4.8 workflows for repository analysis, debugging, refactoring, and patch planning. Developers searching for claude code 4.8 can evaluate how Opus 4.8 handles multi-file context, implementation constraints, and review-heavy software tasks in production.

Anthropic Workflows

Route Anthropic Opus 4.8 requests through OurToken when your product needs high-accuracy reasoning, tool-aware responses, and provider flexibility. This helps teams test Claude Opus 4.8 Anthropic behavior alongside other supported models in one API surface.

Context Handling

Use the project-defined 200K context window and 32K max output for long documents, code-heavy prompts, research notes, and extended task instructions. Keep model planning grounded in the current OurToken data instead of unverified competitor limits.

Vision Tools

Send text and image inputs for document understanding, screenshot review, visual reasoning, and multimodal assistants. Claude Opus 4.8 API can also support function calling and structured output patterns when applications need predictable downstream automation paths.

How to Use Claude Opus 4.8 API on OurToken

Create an API key, choose Claude Opus 4.8 API, compare pricing, then test Claude Code and Anthropic 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 4.8 API calls without exposing secrets in browser or client-side code.

01

Select Model ID

Use claude-opus-4-8 as the model value when sending chat completions requests. Document the model ID clearly for developers comparing Claude Opus 4.8 API access, Anthropic Opus 4.8 providers, and production routing options across environments today.

02

Call Unified API

Send requests through OurToken's unified API endpoint with your OpenAI-compatible client. This keeps Claude Opus 4.8 Anthropic access, pricing review, and model comparison inside one integration instead of separate provider-specific code paths for each application.

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 4.8 API cost for real production workloads.

04

Test Claude Code

Run representative Claude Code Opus 4.8 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 4.8 Claude Code workflows reduce review cycles compared with smaller or cheaper models in practice today.

06

Claude Opus 4.8 API FAQ

Answers about Claude Opus 4.8 API pricing, release details, Claude Code workflows, Anthropic access, context limits, and provider evaluation.

01

What is Claude Opus 4.8 API?

Claude Opus 4.8 API is an API route for using Anthropic's Opus 4.8 model in applications that need complex reasoning, advanced coding, 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 4.8 pricing cost on OurToken?

Claude Opus 4.8 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

Is Claude Opus 4.8 API useful for Claude Code workflows?

Yes. Claude Code Opus 4.8 workflows can support code review, debugging, refactoring, patch planning, and repository-aware implementation. Developers searching for claude code 4.8 usually want a higher-accuracy model for multi-file changes, agentic coding loops, and review-heavy engineering tasks in real repositories at production scale today.
04

What is the Claude Opus 4.8 release date?

Competitor and provider pages describe the Claude Opus 4.8 release as May 28, 2026. This OurToken page focuses on current project data for access, model ID, pricing, and integration guidance, so release information should be treated as contextual rather than a separate product guarantee for availability.
05

What context window does Claude Opus 4.8 use here?

This OurToken page uses the project's current Claude Opus 4.8 data: a 200K token context window and up to 32K 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 4.8 API providers?

Compare Claude Opus 4.8 Anthropic access by availability, latency, reliability, price, image input, structured output, and tool calling. OurToken helps teams test Anthropic Opus 4.8 alongside other supported models through one unified API, but production decisions should use your own prompts and traffic patterns first.