This model was retired on 2027-06-09. The pricing below is the last-known rate, kept for migration reference.
Claude Fable 5Deprecated
VisionTool useReasoningPrompt cachingStructured output
Context
1M
Max output
128K
Serving providers
7
Cheapest input
$10.00 /1M
Prices are on-demand list rates. Enterprise commitments (committed-use discounts, provisioned throughput, negotiated rates) can be materially lower.
Benchmarks
independent evaluations · source: Artificial AnalysisSpeed & latency
Output speed
62 t/s
tokens / second
Time to first token
98.55s
latency
Headline indices
Intelligence Index
62.1
of 100
Coding Index
76.5
of 100
Agentic Index
56.6
of 100
Individual benchmarks · click a row for effort variants
| Benchmark | Best score | Effort | Cost / task | |
|---|---|---|---|---|
| Aa Analyst Agent | 0.5 | default | — | |
| AA-Briefcase | 54% | — | — | |
| Automation Bench | 0.5 | default | — | |
| CritPt | 29% | default | — | |
| GDPval | 1737.7 | default | — | |
| GPQA Diamond | 93% | default | — | |
| Harvey Lab | 0.9 | default | — | |
| Humanity's Last Exam | 55% | default | — | |
| IFBench | 63% | default | — | |
| Long-Context Reasoning | 77% | default | — | |
| Mlcr Overall | 0.6 | default | — | |
| Omniscience | 43.3 | default | — | |
| Omniscience Accuracy | 0.7 | default | — | |
| Omniscience Non Hallucination | 0.4 | default | — | |
| SciCode | 60% | default | — | |
| TerminalBench Hard | 63% | default | — | |
| TerminalBench v2.1 | 85% | default | — | |
| τ-bench Banking | 38% | default | — | |
| τ²-bench | 99% | default | — |
Pricing by serving provider
last-known · per 1M tokens · click a provider to expand| Serving provider | Input /1M | Output /1M | Endpoints | ||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Azure | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
| Amazon Bedrock | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
| Anthropic | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
| Vertex AI | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
| DeepInfra | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
| OpenRouter | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
| Databricks | $10.00 | $50.00 | 1 | ||||||||||||||||||||||||||
| |||||||||||||||||||||||||||||
Price history
input + output $/1M since we started tracking Input Output
Cost calculator
estimate your monthly spend on this model$6,000
estimated / month
Model IDs
copy the exact identifier for your platformazure_ai/claude-fable-5anthropic.claude-fable-5claude-fable-5vertex_ai/claude-fable-5deepinfra/anthropic/claude-fable-5anthropic/claude-fable-5databricks/databricks-claude-fable-5
Frequently asked questions
Claude Fable 5 pricing, context and availabilityIs Claude Fable 5 still available?
Claude Fable 5 was retired on 2027-06-09. The pricing on this page is the last-known rate, kept for migration reference.
How much did Claude Fable 5 cost?
Claude Fable 5's last-known pricing, before it was retired on 2027-06-09, was $10.00 per 1M input tokens and $50.00 per 1M output tokens.
What was the context window of Claude Fable 5?
Claude Fable 5 had a 1M token context window and could return up to 128K output tokens.
What could Claude Fable 5 do?
Claude Fable 5 supported image input (vision), tool use, reasoning, prompt caching and structured output.
Other Anthropic models
compare pricing across the Anthropic lineupClaude Haiku 4.5$1.00/1M · 8 providersClaude Sonnet 4.5$3.00/1M · 8 providersClaude Sonnet 4.6$3.00/1M · 8 providersClaude Sonnet 5$2.00/1M · 7 providersClaude Opus 4.5$5.00/1M · 7 providersClaude Opus 4.6$5.00/1M · 7 providersClaude Opus 4.7$5.00/1M · 7 providersClaude Opus 4.8$5.00/1M · 7 providers
Popular comparisons
head-to-head pages featuring Claude Fable 5 Pricing verified against LiteLLM + OpenRouter + provider pages · refreshed daily
Every weekday
AI moves fast. Here's your debrief.
News, analysis, tools, and more.
For people who build with AI