Model decision surface
Compare AI models
Start with Claude Opus 5.5 and DeepSeek V4 Pro 0813, 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 Opus 5.5 vs DeepSeek V4 Pro 0813
Live dataset updated 11/7/2026, 12:54:46 AM UTC
Open 1200×630 evidence receipt| Field | Claude Opus 5.5 Anthropic | DeepSeek V4 Pro 0813 DeepSeek |
|---|---|---|
| ModelCap position | #1 | #30 |
| Index score | 87.7 | 75.1 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $4.00 | $0.117 |
| Output / 1M | $20.00 | $4.66 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 5 | 21 |
| Weight access | No linked weights | Open weights |
Decision facts
- Claude Opus 5.5 is #1; DeepSeek V4 Pro 0813 is #30 on the same current language board.
- Index scores are 87.7 for Claude Opus 5.5 and 75.1 for DeepSeek V4 Pro 0813. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $20.00 for Claude Opus 5.5 and $4.66 for DeepSeek V4 Pro 0813. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $18.00 for Claude Opus 5.5 versus $2.56 for DeepSeek V4 Pro 0813. DeepSeek V4 Pro 0813 costs 85.8% 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 Opus 5.5 and 1,048,576 for DeepSeek V4 Pro 0813.
- Weight access differs: Claude Opus 5.5 is none; DeepSeek V4 Pro 0813 is open.
- ModelCap currently lists 5 providers for Claude Opus 5.5 and 21 for DeepSeek V4 Pro 0813.
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.