Model decision surface
Compare AI models
Start with R1 0528 and GPT-5.5 Pro, 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 GPT-5.5 Pro
Live dataset updated 9/10/2026, 3:47:06 AM UTC
Open 1200×630 evidence receipt| Field | R1 0528 DeepSeek | GPT-5.5 Pro OpenAI |
|---|---|---|
| ModelCap position | #56 | #53 |
| Index score | 57.6 | 59.5 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measuredpublisher-corpus-prior over 184 held-out anchors (59%); 1 specialist-board observation at 2.1% support (41%); shrunk 14.2 toward the measured corpus |
| Input / 1M | $0.50 | $30.00 |
| Output / 1M | $2.15 | $180 |
| Pricing status | fresh | fresh |
| Context | 164K | 1M |
| Providers | 4 | 1 |
| Weight access | Open weights | API only |
Decision facts
- R1 0528 is #56; GPT-5.5 Pro is #53 on the same current language board.
- Index scores are 57.6 for R1 0528 and 59.5 for GPT-5.5 Pro. 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 $180.00 for GPT-5.5 Pro. 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 $150.00 for GPT-5.5 Pro. R1 0528 costs 98.6% 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 1,050,000 for GPT-5.5 Pro.
- Weight access differs: R1 0528 is open; GPT-5.5 Pro is none.
- ModelCap currently lists 4 providers for R1 0528 and 1 for GPT-5.5 Pro.
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.