LLManthropicPlan: Pro and up

Anthropic: Claude Opus 4.8

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...

Anyone in the Space can @-mention Anthropic: Claude Opus 4.8 with the team's shared context — pooled credits, one chat, one memory.

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Verdict

Claude Opus 4.8 sits at the top of Anthropic's lineup with a million-token context window and multimodal file handling, making it the go-to for complex reasoning over large document sets or codebases. The $25/Mtok output cost is steep—five times Sonnet 4.5—so you pay a premium for the extra reasoning depth. Reach for Opus when accuracy on hard problems justifies the spend; use Sonnet for everything else.

Best for

Multi-document legal or financial analysis
Complex reasoning over entire codebases
High-stakes technical writing and editing
Research synthesis from dozens of papers
Vision tasks requiring nuanced interpretation

Strengths

Opus 4.8 excels at tasks where reasoning depth matters more than speed or cost. The million-token window handles full codebases, lengthy contracts, or stacks of research papers in a single pass. Multimodal support extends to images and file uploads, so you can feed it screenshots, diagrams, or PDFs directly. When Sonnet stumbles on edge cases or subtle logical dependencies, Opus typically gets it right.

Trade-offs

Output pricing is $25/Mtok—five times Claude Sonnet 4.5 and ten times Haiku. That makes Opus expensive for high-volume workflows or iterative drafting. Latency is also higher than Sonnet, so real-time chat feels slower. Without public benchmarks yet, it's hard to quantify the reasoning gap over Sonnet 4.5; in practice, the difference shows up on hard problems but not routine tasks.

Specifications

Provider: anthropic
Category: llm
Context length: 1,000,000 tokens
Max output: 128,000 tokens
Modalities: text, image, file
License: proprietary
Released: 2026-05-27

Pricing

Input: $5.00/Mtok
Output: $25.00/Mtok
Model ID: anthropic/claude-opus-4.8

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool — one plan, one balance for everyone.

Team cost calculator

Seats5 peopleMessages / seat / day80Avg turn size2 ktokOutput share30 %

Estimated monthly spend

$193.60

17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool — one plan, one balance for everyone.

Providers

Provider	Context	Input	Output	P50 latency	Throughput	30d uptime
anthropic	1000k	$5.00/Mtok	$25.00/Mtok	—	—	—

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

Public benchmark scores are not available yet for this model. Check back after the next ingestion run.

Works well with

Top MCPs

Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.

How Switchy teams use it

Not enough Spaces have used this model yet to share anonymised team stats. We wait for at least 50 distinct Spaces per week before publishing any aggregate.

Starter prompts

Codebase Architecture Review

Review this codebase for architectural patterns, potential technical debt, and areas where refactoring would improve maintainability. Highlight any security concerns or performance bottlenecks you notice.

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Multi-Document Contract Analysis

Compare these contracts and identify any conflicting terms, missing clauses, or legal risks. Summarize key differences in liability, termination, and indemnification provisions.

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Research Paper Synthesis

Synthesize the main findings, methodologies, and conclusions from these research papers. Identify areas of consensus, conflicting results, and gaps in the literature.

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Technical Diagram Interpretation

Describe the system architecture shown in this diagram. Explain the data flow, identify potential bottlenecks, and suggest improvements for scalability.

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High-Stakes Report Editing

Edit this report for clarity, accuracy, and professional tone. Flag any logical inconsistencies, unsupported claims, or sections that need more evidence.

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