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Anthropic

Claude Fable 5.2

Claude Fable 5.2 is a chat-oriented large language model from Anthropic, tracked here with throughput measurements from Artificial Analysis and provider pricing.

Input from
$8.00 / 1M tokens
on OpenRouter · 3 providers
Output from
$40.00 / 1M tokens
on OpenRouter

API Pricing

Cheapest input on OpenRouter · cheapest output on OpenRouter
ProviderInput / 1MOutput / 1MCached / 1M
$4.00$20.00$0.100
$8.00$40.00$0.200
$8.00$40.00$0.200
$8.00$40.00$0.200

Prices updated daily. Last check: Nov 10, 2026

Compare API pricing for every Claude model →

Claude Fable 5.2 pricing by provider

Input, output, and batch rates, plus alternatives, for one provider at a time.

Performance & Benchmarks

Source: Artificial Analysis →
Intelligence
64.6 / 100
Output Speed
94.7 t/s
Latency (TTFT)
253.4s

Benchmarks measured Nov 2026. Scores are independent evaluations, not vendor-reported.

Model Details

General

Creator
Anthropic
Modalities
Text

Capabilities

Strengths & Limitations

Strengths

  • Measured output throughput of approximately 94.67 tokens per second once generation begins (Artificial Analysis)
  • Built by Anthropic, a provider with an established Claude model line and documented API conventions
  • Chat-formatted interface, so it drops into existing multi-turn conversational request patterns
  • Streaming output at a steady rate suits long-form generation where total completion time matters more than first-token latency
  • Throughput and latency figures come from a third-party benchmark source rather than vendor self-reporting
  • Listed across providers in our pricing table, allowing direct cost comparison for the same model

Limitations

  • Measured time to first token is roughly 253,380 ms (about four minutes), which rules out latency-sensitive interactive use
  • Context window size is not confirmed in our database, so maximum input length should be verified with the provider
  • Modality support (image, audio, or other non-text input) is not tracked for this model
  • No standardized quality benchmark scores (reasoning, coding, or knowledge evaluations) are available in our data for this entry
  • Limited published specification detail makes direct feature-by-feature comparison with other Claude models difficult

Key Features

•Chat/conversational text generation interface
•Measured output speed of ~94.67 tokens per second
•Third-party performance profiling via Artificial Analysis
•Anthropic Claude model family lineage
•Multi-turn dialogue request format
•Streaming token output
•Cross-provider availability tracked in the pricing table on this page

About Claude Fable 5.2

Claude Fable 5.2 is a chat model published by Anthropic, the company behind the Claude line of assistants. It is listed in our catalog as a conversational text model, meaning it is designed to take a prompt or multi-turn dialogue and return generated text. Beyond the creator and model type, our database does not carry confirmed details on this model's context window, modality support, or parameter scale, so this page focuses on what has been measured directly rather than on specifications we cannot verify. On the performance side, independent measurements from Artificial Analysis put Claude Fable 5.2 at roughly 94.67 output tokens per second, which places it in a mid-to-upper range for generation speed among chat models that report this metric. The measured time to first token is unusually long at approximately 253,380 milliseconds (about four minutes), a figure that typically indicates extended internal processing before the first visible token is emitted rather than a simple network delay. Together these numbers describe a model that, once it begins responding, streams at a reasonable rate, but that can take a substantial amount of wall-clock time before output begins. In practice, that latency profile shapes where Claude Fable 5.2 fits. It is a poor match for interactive chat interfaces where a user is waiting on screen, and a better match for asynchronous or batch workloads where a job can be submitted and collected later. Readers comparing it against other Anthropic Claude models or third-party chat models should weigh the throughput figure against the first-token delay, and should consult the pricing table on this page to see how the available providers price it.

Common Use Cases

Claude Fable 5.2 is best positioned for asynchronous text generation jobs where the long measured time to first token is acceptable: offline document drafting, bulk summarization queues, report generation, content pipelines that run on a schedule, and research or analysis tasks submitted as background jobs. Its roughly 94.67 tokens per second output rate means long responses complete at a reasonable pace once generation starts, which favors workloads that produce substantial text per request rather than many short exchanges. It is a weak fit for live chatbots, autocomplete, voice assistants, or any agent loop that issues many sequential short calls, since the first-token delay would compound on every step. Teams evaluating it should prototype against their own prompts to confirm both quality and end-to-end latency before committing, and should check the pricing table on this page for the providers currently serving it.

Frequently Asked Questions

How much does Claude Fable 5.2 cost?

Pricing varies by provider and by pricing type — input tokens, output tokens, and any cached or batch rates are often billed differently, and providers update rates frequently. See the pricing table on this page for the current figures across the providers we track.

What is Claude Fable 5.2 best used for?

It suits asynchronous, long-form text generation such as batch summarization, document drafting, and scheduled content pipelines. Its measured output rate of about 94.67 tokens per second supports lengthy responses, while the long measured time to first token makes it unsuitable for real-time interactive chat.

Why is the time to first token so high?

Artificial Analysis measured roughly 253,380 ms before the first token appears. A delay of that scale usually reflects extended processing before output is emitted, or provider-side queuing during measurement, rather than ordinary network overhead. Benchmark conditions differ from production, so test against your own provider and prompt mix.

What context window does Claude Fable 5.2 support?

Our database does not carry a confirmed context window for this model. Check Anthropic's documentation or the serving provider's model card for the maximum input length before designing around long-context prompts.

How does it compare to other Anthropic Claude models?

We only hold throughput and latency measurements for Claude Fable 5.2, not standardized quality benchmarks, so a capability-level comparison is not possible from our data alone. On speed, its ~94.67 output tokens per second is competitive, but the measured first-token delay is far higher than typical Claude chat endpoints, which is the main differentiator to account for.