Aitoolsfi
Anthropic vs Anthropic

Claude 4.8 Opus vs Claude 4.7 Opus

Compare Claude 4.8 Opus and Claude 4.7 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus long-context workloads.

Overview ↓ Pricing ↓ Capabilities ↓ Community ↓ Tools ↓ Verdict ↓ FAQ ↓ Related ↓

Overview Comparison

Structured side-by-side differences for the highest-signal model metadata.

Claude 4.8 Opus
Claude 4.7 Opus

Provider

The entity that currently provides this model.

Claude 4.8 Opus Anthropic
Claude 4.7 Opus Anthropic

Model ID

The routed model identifier exposed by upstream providers.

Claude 4.8 Opus anthropic/claude-opus-4.8
Claude 4.7 Opus anthropic/claude-opus-4.7

Input Context Window

The number of tokens supported by the input context window.

Claude 4.8 Opus $25.00 /MTok tokens
Claude 4.7 Opus 1M tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

Claude 4.8 Opus 128,000 tokens tokens
Claude 4.7 Opus 128,000 tokens tokens

Open Source

Whether the model's code is available for public use.

Claude 4.8 Opus No
Claude 4.7 Opus No

Release Date

When the model was first released.

Claude 4.8 Opus May 27, 2026
Claude 4.7 Opus Apr 16, 2026

Knowledge Cut-off Date

When the model's knowledge was last updated.

Claude 4.8 Opus Unknown
Claude 4.7 Opus Unknown

API Providers

The providers that currently expose the model through an API.

Claude 4.8 Opus
OpenRouter
Claude 4.7 Opus
OpenRouter

Modalities

Types of data each model can process or return.

Claude 4.8 Opus
Text Image File
Claude 4.7 Opus
Text Image File

Pricing Comparison

Compare current token pricing before you choose the cheaper or more scalable API option.

Claude 4.8 Opus Anthropic
Input price $5.00 Per 1M tokens
Output price $25.00 Per 1M tokens
Claude 4.7 Opus Anthropic
Input price $5.00 Per 1M tokens
Output price $25.00 Per 1M tokens

Capabilities Comparison

See where each model overlaps, where they differ, and which one supports more of the features you care about.

Capability
Claude 4.8 Opus
Claude 4.7 Opus
File
Claude 4.8 Opus Supported
Claude 4.7 Opus Supported
Image
Claude 4.8 Opus Supported
Claude 4.7 Opus Supported
Reasoning
Claude 4.8 Opus Supported
Claude 4.7 Opus Supported
Structured Output
Claude 4.8 Opus Supported
Claude 4.7 Opus Supported
Text
Claude 4.8 Opus Supported
Claude 4.7 Opus Supported
Tools
Claude 4.8 Opus Supported
Claude 4.7 Opus Supported
Community discussion

What Reddit discussions say about Claude 4.8 Opus vs Claude 4.7 Opus

Claude 4.8 Opus and Claude 4.7 Opus are both surfacing live Reddit discussions, giving this comparison a community layer beyond specs and benchmarks.

The most visible threads right now are clustered in r/QualityAssurance. The feed below mixes discussion threads surfaced for each model so you can quickly spot where community sentiment overlaps or diverges.

Claude 4.7 Opus r/QualityAssurance 49 upvotes 28 comments May 11, 2026
With AI evolution (Claude 4.7 opus) E2E Automation career opportunities exists ?

I’m currently working as an SDET in a product-based company, mainly focused on end-to-end automation testing. Recently, I came across discussions saying many companies no longer prefer QA engineers who only have E2E automation experience, and it honestly made me anxious about my long-term career prospects.

A lot of my work involves:

* E2E automation frameworks
* API testing
* CI/CD deployments in test env
* Test infrastructure and automation pipelines

For experienced engineers/managers here:

* How do you see the future of SDET/QA roles evolving?
* Is deep E2E automation experience still valuable long term?
* What skills should someone in QA automation start building now to stay relevant in the next 5–10 years?
* Would you recommend transitioning toward backend development, infrastructure/platform engineering, or something else?

Thanks in advance (used gpt to format/modify it)

Open Reddit thread
View more discussions →

AI tools related to Claude 4.8 Opus vs Claude 4.7 Opus

These tools are closely connected to one or both models in this comparison and can help you evaluate real-world fit.

AI Chatbot

LongShot AI

LongShot AI is an AI-powered content creation platform built to help users plan, generate, and optimize articles for search engines like Google, ChatGPT, Perplexity, and Gemini. It provides features such as real-time content generation, fact-checking, semantic SEO, and custom AI tools to produce high-quality, SEO-optimized content. LongShot AI balances creativity with optimization to help users create content that engages audiences and improves search rankings.

Free 0 visits 30 saves
AI Chatbot

Claudeai.ai

Claudeai.ai is a platform powered by Anthropic's Claude 2 language model. It provides global access to Claude 2's features, including support for processing various text files, a 100K token context limit, and the ability to interact with up to 5 files at once. While not affiliated with Anthropic, Claudeai.ai uses the Claude 2 API to offer a user experience similar to the official website, accessible without regional restrictions.

Free 0 visits 17 saves
AI Writing Assistants

Sudowrite

Sudowrite is an AI writing assistant tailored for fiction authors, novelists, and screenwriters. It helps users overcome writer's block, brainstorm concepts, generate prose, expand scenes, refine sentences, and receive feedback on drafts. By utilizing various large language models, it supports the entire writing process—from initial outlining to final editing—to make writing more efficient, enjoyable, and collaborative.

Free 1 visits 17 saves
AI Agent

Engine

Engine is a suite of LLM-powered no-code tools that enables the creation of hosted API endpoints, HTML pages, and images using natural language. Additionally, it functions as an AI software engineer for teams, integrating with platforms like Jira, Trello, and Linear to convert tickets into pull requests, helping to automate development tasks and clear backlogs.

Free 0 visits 6 saves

Which model should you choose?

Use the summary below to decide which model better fits your workflow, budget, and feature requirements.

Best fit for

Claude 4.8 Opus

Claude 4.8 Opus is a stronger fit for reasoning-heavy tasks, tool-augmented workflows, multimodal applications.

Best fit for

Claude 4.7 Opus

Claude 4.7 Opus is a stronger fit for long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

Verdict

Choose Claude 4.8 Opus if you prioritize reasoning-heavy tasks, tool-augmented workflows, multimodal applications. Choose Claude 4.7 Opus if your workflow depends more on long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

FAQ

Common questions about Claude 4.8 Opus vs Claude 4.7 Opus

What is the main difference between Claude 4.8 Opus and Claude 4.7 Opus?

Claude 4.8 Opus leans toward reasoning-heavy tasks, tool-augmented workflows, multimodal applications, while Claude 4.7 Opus is better suited to long-context workloads, reasoning-heavy tasks, tool-augmented workflows.

Which model is cheaper: Claude 4.8 Opus or Claude 4.7 Opus?

Claude 4.8 Opus and Claude 4.7 Opus currently share the same published input price of $5.0000 per 1M input tokens.

Which model has the larger context window: Claude 4.8 Opus or Claude 4.7 Opus?

Claude 4.8 Opus is listed with a context window of $25.00 /MTok, while Claude 4.7 Opus is listed with 1M.

How should I evaluate Claude 4.8 Opus vs Claude 4.7 Opus for my use case?

Use the feature, pricing, and context comparisons on this page to evaluate the two models.