Model decision surface
Compare AI models
Start with Claude Fable 5.1 and DeepSeek V4 Flash 0731, 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 DeepSeek V4 Flash 0731
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Claude Fable 5.1 Anthropic | DeepSeek V4 Flash 0731 DeepSeek |
|---|---|---|
| ModelCap position | #3 | #24 |
| Index score | 87.7 | 70.7 |
| Evidence | Measured5 public benchmark observations across 5 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $10.00 | $0.065 |
| Output / 1M | $50.00 | $0.18 |
| Pricing status | fresh | fresh |
| Context | 1M | 1.3M |
| Providers | 4 | 28 |
| Weight access | API only | Open weights |
Decision facts
- Claude Fable 5.1 is #3; DeepSeek V4 Flash 0731 is #24 on the same current language board.
- Index scores are 87.7 for Claude Fable 5.1 and 70.7 for DeepSeek V4 Flash 0731. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $50.00 for Claude Fable 5.1 and $0.18 for DeepSeek V4 Flash 0731. 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 $0.22 for DeepSeek V4 Flash 0731. DeepSeek V4 Flash 0731 costs 99.5% 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 1,310,720 for DeepSeek V4 Flash 0731.
- Weight access differs: Claude Fable 5.1 is none; DeepSeek V4 Flash 0731 is open.
- ModelCap currently lists 4 providers for Claude Fable 5.1 and 28 for DeepSeek V4 Flash 0731.
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.