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By using Claude Fable 5, you consent to data retention for purposes of monitoring safe and compliant use of AI. Anthropic's data retention policy does not allow zero data retention. Learn moreOpens in new tab

Azure, Google Vertex, and Amazon Bedrock endpoints are BYOK-only while we work on enabling public access.

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Anthropic: Claude Fable 5

anthropic/claude-fable-5

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Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

Modalities
In / Out Price
$10 / $50per 1M
Context
1.0M
Released
Jun 9, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), Floor (cheapest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Anthropic: Claude Fable 5 (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) Intelligence Index49.6
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) Coding Index76.5
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) Agentic Index50.7
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) GPQA Diamond92.6%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) HLE55.5%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) IFBench63.5%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) τ²-Bench Telecom98.5%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) AA-LCR82.3%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) GDPval-AA54.8%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) CritPt28.6%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) SciCode61.0%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) Terminal-Bench Hard62.9%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) AA-Omniscience Accuracy65.3%
Artificial AnalysisClaude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) AA-Omniscience Non-Hallucination Rate36.4%
Design ArenaClaude Fable 5 Agents Arena Agenticgamedev Elo1284
Design ArenaClaude Fable 5 Agents Arena Agentichtmlslides Elo1254
Design ArenaClaude Fable 5 Agents Arena Agenticslides(Html) Elo1252
Design ArenaClaude Fable 5 Agents Arena Androidnative Elo1298
Design ArenaClaude Fable 5 Agents Arena Full Stack Elo1289
Design ArenaClaude Fable 5 Agents Arena Godotgamedev Elo1295
Design ArenaClaude Fable 5 Agents Arena Htmlslides Elo1273
Design ArenaClaude Fable 5 Agents Arena Mobile Apps Elo1262
Design ArenaClaude Fable 5 Agents Arena Python-Pptxslides Elo1295
Design ArenaClaude Fable 5 Agents Arena Webapps Elo1270
Design ArenaClaude Fable 5 Models Arena 3D Elo1337
Design ArenaClaude Fable 5 Models Arena Asciiart Elo1341
Design ArenaClaude Fable 5 Models Arena Code Categories Elo1320
Design ArenaClaude Fable 5 Models Arena Data Visualization Elo1315
Design ArenaClaude Fable 5 Models Arena Game Development Elo1349
Design ArenaClaude Fable 5 Models Arena SVG Elo1301
Design ArenaClaude Fable 5 Models Arena UI Component Elo1327
Design ArenaClaude Fable 5 Models Arena Website Elo1303

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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$10.00$50.00$1.00----
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$10.00$50.00$1.003.32s72 tps
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Not used in Standard routing:Why these endpoints are not used
$11.00$55.00$1.10----
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Throughput
72tok/s

P50, best across providers

Latency
3.32s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchAzure (BYOK Only)88.1%79.4%Google Vertex87.9%78.6%Claude Platform on AWS88.4%77.7%Anthropic88.0%77.6%auto-routing88.5%76.6%Google Vertex (EU)88.1%76.1%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.73%

Availability over the last 3 days

Last 72 hours
Availability 99.73%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.86%
Without Routing
71.45%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

1.
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Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
61.5Btokens
2.
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Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
50.2Btokens
3.
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Cline
Cline is an open-source AI coding agent that lives inside your IDE, autonomously exploring your codebase, editing files, running terminal commands, and using browser automation.
14.3Btokens
4.
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pi
There are many coding agents, but this one is yours.
11.1Btokens
5.
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OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
9.17Btokens

Frequently asked questions

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

Claude Fable 5 costs $10.00/M input tokens and $50.00/M output tokens, with separate rates for Cache Read at $1.00/M tokens, Cache Write at $12.50/M tokens, Cache Write (1h) at $20.00/M tokens, and Web Search at $10.00/1K calls.

Claude Fable 5 has a 1,000,000 token context window. It supports up to 128,000 completion tokens.

Yes. Claude Fable 5 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Claude Fable 5 accepts text, images, and files such as PDFs as input and returns text.

Claude Fable 5 is served by 5 providers on OpenRouter: Claude Platform on AWS, Azure (BYOK Only), Amazon Bedrock, Google Vertex, and Anthropic. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Claude Fable 5 was released on June 9, 2026.

More models from Anthropic

Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

Text1M context$2 / $10
Claude Sonnet 5.5

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing polished documents, slides, and spreadsheets, and it writes and communicates more clearly than its predecessor.

Thinking is always on, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings keep it responsive for everyday agentic loops.

Text1M context$1 / $5
Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Text1M context$4 / $20
Claude Opus 5.5

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.

The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.

Text1M context$2 / $10
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

Text1M context$10 / $50
Claude Fable 5.1

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.

Text1M context$5 / $25
Claude Opus 5

Fast-mode variant of Opus 5 - identical capabilities with higher output speed at 2x pricing relative to regular Opus 5.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 5 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

Text1M context
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Text1M context$5 / $25
Claude Opus 5

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.

The model maintains strong instruction following and tool use across extended tasks, while remaining effective at lower effort settings for workloads that prioritize latency and token efficiency.

Text1M context$2.50 / $12.50
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Text1M context$2 / $10
Claude Sonnet 5

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max, and x-high), a 1M-token context window, and text, image, and file inputs. Sonnet 5 uses an updated tokenizer and includes real-time cyber safeguards that block certain high-risk dual-use activities.

Text1M context$1 / $5
Claude Fable Latest

This model always redirects to the latest model in the Claude Fable family.

Text1M context
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

Text1M context$10 / $50
Claude Fable 5

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.

It is particularly strong at end-to-end work that would otherwise take a person hours, days, or weeks - taking on problems that are long-running, ambiguous, or highly multi-step. It executes well-scoped tasks with few mistakes, automatically self-correcting through verification loops, and ships with robust safeguards.

Text1M context$5 / $25
Claude Opus 4.8

Fast-mode variant of 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

Note: As of September 1, 2026, this dedicated fast model is deprecated. Fast mode is now served by the fast service tier endpoint on Claude Opus 4.8 — request it with service_tier: "fast" or speed: "fast". Requests to this model keep working and are served by the same fast tier capacity, so no action is required, but new integrations should target the regular model. Learn more in our service tier docs: https://openrouter.ai/docs/guides/features/service-tiers

Text1M context
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 context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

Text1M context$5 / $25
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 context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.

It is particularly strong on multi-step reasoning, complex coding, and end-to-end project orchestration - large codebases, multi-stage debugging, and long-running asynchronous agent pipelines. Beyond coding, it handles knowledge work such as drafting documents, building presentations, and analyzing data, maintaining quality across very long outputs.

Text1M context$2.50 / $12.50
Claude Opus 4.7

Fast-mode variant of Opus 4.7 - identical capabilities with higher output speed at premium 6x pricing.

Learn more in Anthropic's docs: https://platform.claude.com/docs/en/build-with-claude/fast-mode

Text1M context
Claude Haiku Latest

This model always redirects to the latest model in the Claude Haiku family.

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Claude Sonnet Latest

This model always redirects to the latest model in the Claude Sonnet family.

Text1M context