Intelligence
60 scoreAnthropic · Flagships Analysis
Claude Fable 5 (with fallback)
Intelligence, Performance & Price Analysis
Canonical slug: claude-fable-5 · Canonical model registry at build time
Speed
70.7 output tokens/secLatency
149.84s TTFTInput Price
$10.00 / 1M tokensOutput Price
$50.00 / 1M tokensVerbosity
87M Output tokens from Intelligence Index 3 out of 4 units for Verbosity . CompaExecutive Assessment
Routing Verdict & Tradeoffs
Frontier research / complex reasoning
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) scores 60 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28). Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) generates output at 70.7 tokens per second (based on Anthropic's API), which is below average compared to other reasoning models in a similar price tier (median: 81.2 t/s). Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) costs $10.00 per 1M input tokens (at the higher end, median: $1.50) and $50.00 per 1M output tokens (at the higher end, median: $8.40), based on Anthropic's API.
Reserve this model for the hardest requests; simpler or repetitive work should stay on cheaper routes.
Task Fit Assessment
| Workload | Rating | Notes |
|---|---|---|
| Complex reasoning & agentic workflows | optimal | Intelligence score 60 places this model among top performers. Suitable for multi-step analysis and agentic loops. |
| High-volume chat & customer-facing | optimal | Output speed 70.7 tokens/sec is adequate for chat. |
| Latency-sensitive applications | viable | TTFT 149.84s — latency may be noticeable in interactive use. |
| Cost-sensitive pipelines | viable | Output pricing at $50.00 is premium. Route high-volume simple tasks to cheaper alternatives. |
Cost Pressure Analysis
High
Pricing is premium — input $10.00, output $50.00. This model is expensive for high-volume or output-heavy workloads.
Technical Specifications
Architecture and Limits
| Specification | Value | Validation Authority |
|---|---|---|
| Model type | Proprietary | inferred |
| Reasoning | Yes | faq |
| Input modalities | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) supports text and image input. | faq |
| Output modalities | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) supports text output. | faq |
| Context window | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request. | faq |
| Open weights / source | No, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is proprietary. The model weights are not publicly available. | faq |
| Parameters | Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is a proprietary model and Anthropic has not disclosed the model size or parameter count. | faq |
| API availability | Yes, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is available via API through 3 providers. | faq |
Evidence charts
Profile visualizations
Charts are the same canonical evidence cards previously published for this slug, contained inside the D18D page grammar.
AA-Omniscience Index
AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Output Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Speed
Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
End-to-End Response Time
Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Latency: Time To First Answer Token
Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Context Window
Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost per Intelligence Index Task
Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost per Task
Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Cost to Run Artificial Analysis Intelligence Index
Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Pricing: Cache Hit, Input, and Output
Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Time per Intelligence Index Task
Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Output Tokens per Intelligence Index Task
Weighted average number of output tokens used to run one task in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis
Chart source and provenance are listed in Methodology & sources below.
- Source:
- Published benchmark dataset
- Retrieval date:
- 2026-07-08
- Methodology:
- Independent test run by Artificial Analysis on dedicated hardware.
Methodology
Methodology & Provenance
This page is rendered from the normalized profile and page JSON for Claude Fable 5 (with fallback).
Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.
Frequently Asked Questions
Model FAQs & Technical Disclosures
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) was released on June 9, 2026.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) was created by Anthropic.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) scores 60 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28).
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) generates output at 70.7 tokens per second (based on Anthropic's API), which is below average compared to other reasoning models in a similar price tier (median: 81.2 t/s).
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) has a time to first token (TTFT) of 149.84s (based on Anthropic's API), which is at the higher end compared to other reasoning models in a similar price tier (median: 2.77s).
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) costs $10.00 per 1M input tokens (at the higher end, median: $1.50) and $50.00 per 1M output tokens (at the higher end, median: $8.40), based on Anthropic's API.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) costs $10.00 per 1M input tokens and $50.00 per 1M output tokens (based on Anthropic's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $7.70 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) generated 87M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 72M).
Yes, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) supports text and image input.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) supports text output.
Yes, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) supports image input and can analyze, describe, and answer questions about images.
Yes, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is multimodal. It can process text and image input and generate text output.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
No, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is proprietary. The model weights are not publicly available.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is a proprietary model and Anthropic has not disclosed the model size or parameter count.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) achieves a score of 60 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is available via API through 3 providers.
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) is available through 3 API providers.