Mini tools| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
|
Claude Fable 5
This model
Anthropic
|
$10 | $1 | $50 | per 1M tokens |
|
Claude Opus 4.8
Anthropic
|
$5 | $0.5 | $25 | per 1M tokens |
|
Claude Sonnet 4.6
Anthropic
|
$3 | $0.3 | $15 | per 1M tokens |
|
Claude Haiku 3.5
Anthropic
|
$1 | $0.1 | $5 | per 1M tokens |
Claude Fable 5
By Anthropic
Model family: Claude
Claude Fable 5 is Anthropic’s most capable generally available Claude model as of its 09-06-2026 launch. It uses the same underlying model as Claude Mythos 5, but includes conservative safeguards that route some cybersecurity, biology, chemistry, or model-distillation requests to Claude Opus 4.8 instead. Anthropic positions Fable 5 as state-of-the-art across software engineering, knowledge work, vision, scientific research, memory, and long-context autonomous tasks, with its largest advantage appearing on longer and more complex workflows. It is intended for broad professional use where high-end reasoning, coding, document analysis, visual understanding, and agentic task execution are needed.
Overview
Claude Fable 5 is Anthropic’s generally available Mythos-class Claude model for frontier reasoning, software engineering, knowledge work, vision, long-horizon tasks, and scientific research, with added safeguards for high-risk domains.
Pricing
Compare Claude Fable 5 with other models listed in the same vendor pricing tiers and context lengths.
Tier
Standard
Batch
Asynchronous processing; 50% discount on input and output tokens
| Model | Input | Cached input | Output | Unit |
|---|---|---|---|---|
|
Claude Fable 5
This model
Anthropic
|
$5 | - | $25 | per 1M tokens |
|
Claude Opus 4.8
Anthropic
|
$2.5 | - | $12.5 | per 1M tokens |
About Anthropic
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Industry:
Artificial Intelligence
Company Size:
3673
Location:
San Francisco, California, US
Website:
anthropic.com
Benchmark scores
How Claude Fable 5 ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.
Compare across all benchmarks →Tools using Claude Fable 5
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Bibash Katel🙏 69 karmaJul 16, 2024@ClaudeThe most humanly AI i have used so far but the problem is as soon as you start piling up messages in single chat session , it starts getting slow and at some point it starts freezing and also uses a lot of resources. For time being its okay to do 3 4 messages but as soon as we continue it has messages limitation and also starts getting very very slow . For the price of £18 per month this is unacceptable and with the newly introduced feature called project, if we start new chat within the project we cannot continue with the context we provided in other chats within same project. There are lot of improvements for them to work on. And to start with the its speed and its price
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Open -
Debating AI models, tireless agents, and workspaces. Unlocked, pay-as-you-go.Open -
OpenWe built Continua because every "chat with PDF" tool we tried failed the same way: retrieval grabs a few chunks, answers confidently, and misses the qualifier on page 1,847. In high-stakes documents that's not an inconvenience — it's a lost case, a bad acquisition, a rejected claim. So we went the opposite direction: no RAG at all. Continua reads 100% of every page (up to 1B tokens in one task), returns a report where every claim cites its exact page, and — the part we're proudest of — flags where your documents contradict each other. Every finding is inspectable and tagged: cited, conflicted, duplicated, or unused. Where it shines today: medical chronologies, acquisition diligence, RFP compliance, insurance claim rebuttals. Where it's still rough: reports take minutes (we read everything — that's the cost), no API yet, English-optimized. We're in public beta and genuinely want hard feedback — bring your nastiest document pile and tell us where it breaks. I'll answer every comment here.
Last updated: July 21, 2026
