Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Claude Sonnet 5 and Seed 2.1 Turbo, 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 Sonnet 5 vs Seed 2.1 Turbo

Live dataset updated 9/10/2026, 6:20:44 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Claude Sonnet 5 and Seed 2.1 Turbo
Field
Seed 2.1 Turbo

ByteDance Seed

ModelCap position#20#18
Index score75.876.8
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedglobal-corpus-prior over 185 held-out anchors (12%); launch card against 2 resolved peers on 3 rows (88%); exceeds every named peer on 1 of 3 rows; no cross-lab optimism probe available; shrunk 3.1 toward the measured corpus
Input / 1M$2.00$0.50
Output / 1M$10.00$2.50
Pricing statusfreshfresh
Context1M262K
Providers51
Weight accessAPI onlyAPI only

Decision facts

  • Claude Sonnet 5 is #20; Seed 2.1 Turbo is #18 on the same current language board.
  • Index scores are 75.8 for Claude Sonnet 5 and 76.8 for Seed 2.1 Turbo. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Claude Sonnet 5 is Measured; Seed 2.1 Turbo is Estimated.
  • Listed output price per 1M tokens is $10.00 for Claude Sonnet 5 and $2.50 for Seed 2.1 Turbo. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for Claude Sonnet 5 versus $2.25 for Seed 2.1 Turbo. Seed 2.1 Turbo costs 75.0% 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 Sonnet 5 and 262,144 for Seed 2.1 Turbo.
  • ModelCap currently lists 5 providers for Claude Sonnet 5 and 1 for Seed 2.1 Turbo.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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.