PickAIModel.com - Claude Fable 5.1 Model Detail
Anthropic
Normal use: ~196 chats at published API rates.
PickAI Conversation Value measures buying power at published API rates using the shared standard conversation basket.
Standout feature
Reviewing standard features
We are working on it.
PickAI benchmark
Move the usage slider to see how the monthly price translates into PickAI Conversation Value at published API rates.
PickAI conversation value
~196 chats
Usage intensity
One normal prompt, one full reply, and a couple of follow-up turns.
Selected tier
Claude Pro
PickAI Conversation Value
~196 chats
Standard basket
3K tokens/chat
Normal use: ~196 chats at published API rates.
This estimate uses the shared normal conversation basket: 1,200 input tokens and 1,800 output tokens, or 3k tokens total. Standard conversation cost = (input tokens × API input price + output tokens × API output price) / 1,000,000.
API pricing basis: $10 / 1M input, $50 / 1M output
PickAI Conversation Value measures buying power at published API rates using the shared standard conversation basket.
| Tier | Monthly price | PickAI Conversation Value | Standard basket | Rate note |
|---|---|---|---|---|
Claude ProPrimary Usage limits not disclosed | $20 | ~196 chats | 3,000 tokens | Availability and limits vary by Claude plan and API usage tier. Anthropic documents safeguard fallback routing for some flagged requests. |
Consumer access
Consumer plan pricing is grounded in the current official vendor plan page.
Hosted app availability is grounded in the current official vendor surface.
What it feels like
Official ecosystem
These are the verified first-party tools or official product surfaces currently listed for Claude Fable 5.1. If there is no verified specialized tool beyond a general chat surface, this section stays minimal.
Only verified first-party surfaces are listed.
Claude Fable 5.1 combines the strongest current locked-variant HLE and SWE-Bench Pro evidence with a 1M-token context window. Its $10 per million input-token and $50 per million output-token prices make it a specialist choice for difficult coding and knowledge work, while safeguard fallback means integrations should surface the model identity returned by the API.
Head-to-head pages
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This is a buyer-facing summary of the hosted product experience, not a verbatim vendor claim.
For cautious buyers
Privacy guidance is summarized conservatively for buyers and should be checked against the vendor current controls.
| Benchmark | Metric | Axis | Weight | Contribution | Score | Source | Retrieved |
|---|
Humanity's Last Exam Artificial Analysis HLE: adaptive reasoning, max effort, default safeguard fallback | Normalized quality input | VALUEQUALITY | VALUE: 40% [SMARTNESS] QUALITY: 66.7% [REASONING] | Contributes 40.0 pts to Value score Contributes 66.7 pts to Quality score | 59.1% | Artificial Analysis Claude Fable 5.1 evaluation Independent HLE result using adaptive reasoning at maximum effort with Anthropic default safeguard fallback. | 2026-09-03 |
SWE-Bench Pro Anthropic SWE-Bench Pro: adaptive thinking, max effort, default sampling | Normalized quality input | QUALITY | QUALITY: 33.3% [CODING] | Contributes 33.3 pts to Quality score | 81.2% | Anthropic Claude Fable 5.1 and Mythos 5.1 system card Vendor-reported SWE-Bench Pro result using adaptive thinking at maximum effort and default sampling settings. | 2026-09-03 |
Terminal-Bench 2.1 Artificial Analysis Terminal-Bench 2.1: adaptive reasoning, max effort, default safeguard fallback | Agentic terminal task completion | Reference only | Not used in Quality or Value scoring. | Informational evidence only. | 91.4% | Artificial Analysis Claude Fable 5.1 analysis Independent Terminal-Bench 2.1 result using adaptive reasoning at maximum effort with default safeguard fallback. | 2026-09-03 |
GPQA Diamond Live source acquisition | Normalized quality input | Reference only | Not used in Quality or Value scoring. | Informational evidence only. | 93.7% | Artificial Analysis Claude Fable 5.1 evaluation | 2026-09-03 |