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ModelCap

Model decision surface

Compare AI models

Start with R1 0528 and DeepSeek V3.2, 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

R1 0528 vs DeepSeek V3.2

Live dataset updated 9/23/2026, 4:02:17 AM UTC

Open 1200×630 evidence receipt
Factual comparison of R1 0528 and DeepSeek V3.2
Field
R1 0528

DeepSeek

ModelCap position#62#61
Index score63.764.0
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured4 public benchmark observations across 4 boards
Input / 1M$0.50$0.269
Output / 1M$2.15$0.40
Pricing statusfreshfresh
Context164K164K
Providers415
Weight accessOpen weightsOpen weights

Decision facts

  • R1 0528 is #62; DeepSeek V3.2 is #61 on the same current language board.
  • Index scores are 63.7 for R1 0528 and 64.0 for DeepSeek V3.2. 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 $2.15 for R1 0528 and $0.40 for DeepSeek V3.2. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.08 for R1 0528 versus $0.74 for DeepSeek V3.2. DeepSeek V3.2 costs 64.4% 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 163,840 tokens for R1 0528 and 163,840 for DeepSeek V3.2.
  • ModelCap currently lists 4 providers for R1 0528 and 15 for DeepSeek V3.2.

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.