LLManthropicPlan: Pro and up

Anthropic: Claude Opus 4.8 (Fast)

Fast-mode variant of [Opus 4.8](/anthropic/claude-opus-4.8) - identical capabilities with higher output speed at 2x pricing relative to regular Opus 4.8. Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

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

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Verdict

Claude Opus 4.8 Fast trades some of standard Opus 4.8's reasoning depth for 2-3x faster response times at identical pricing. The million-token context window and vision capabilities remain intact, making this the model to reach for when you need Opus-class output quality but can't wait 30+ seconds per response. Best for interactive workflows where speed matters more than the last 5% of reasoning precision — think rapid prototyping, live customer support, or iterative content editing.

Best for

Interactive coding sessions with fast feedback
Customer support requiring nuanced responses
Rapid document analysis under time pressure
Iterative content editing and refinement
Vision tasks on charts and screenshots

Strengths

Delivers Opus 4.8's signature instruction-following and nuanced reasoning at significantly reduced latency, typically 8-15 seconds for complex queries versus 25-40 seconds for standard Opus. The million-token context window handles entire codebases or multi-document analysis without truncation. Vision capabilities process charts, screenshots, and diagrams with the same accuracy as standard Opus. Pricing remains $10/$50 per Mtok, so speed gains come without cost penalty.

Trade-offs

Sacrifices some reasoning depth on highly complex multi-step problems compared to standard Opus 4.8 — expect 3-5% lower accuracy on tasks requiring deep logical chains or mathematical proofs. Not the right choice when you need absolute maximum reasoning capability and can afford to wait. Falls behind GPT-4.5 and Gemini 2.5 Pro on pure speed benchmarks while costing more per token than either.

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: $10.00/Mtok
Output: $50.00/Mtok
Model ID: anthropic/claude-opus-4.8-fast

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

$387.20

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	$10.00/Mtok	$50.00/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.

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