Model decision surface
Compare AI models
Start with Claude Fable 5.1 and LongCat 2.0, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
Claude Fable 5.1 vs LongCat 2.0
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | Claude Fable 5.1 Anthropic | LongCat 2.0 Meituan |
|---|---|---|
| ModelCap position | #3 | #11 |
| Index score | 88.5 | 79.6 |
| Evidence | Measured5 public benchmark observations across 5 boards | Estimatedglobal-corpus-prior over 180 held-out anchors (7%); launch card against 4 resolved peers on 6 rows (93%); no cross-lab optimism probe available; shrunk 1.8 toward the measured corpus |
| Input / 1M | $10.00 | $0.30 |
| Output / 1M | $50.00 | $1.20 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 4 | 1 |
| Weight access | API only | Open weights |
Decision facts
- Claude Fable 5.1 is #3; LongCat 2.0 is #11 on the same current language board.
- Index scores are 88.5 for Claude Fable 5.1 and 79.6 for LongCat 2.0. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Claude Fable 5.1 is Measured; LongCat 2.0 is Estimated.
- Listed output price per 1M tokens is $50.00 for Claude Fable 5.1 and $1.20 for LongCat 2.0. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $45.00 for Claude Fable 5.1 versus $1.20 for LongCat 2.0. LongCat 2.0 costs 97.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,000,000 tokens for Claude Fable 5.1 and 1,048,756 for LongCat 2.0.
- Weight access differs: Claude Fable 5.1 is none; LongCat 2.0 is open.
- ModelCap currently lists 4 providers for Claude Fable 5.1 and 1 for LongCat 2.0.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.