Model decision surface
Compare AI models
Start with R1 0528 and DeepSeek V4.1 Flash, 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 V4.1 Flash
Live dataset updated 9/10/2026, 11:40:10 AM UTC
Open 1200×630 evidence receipt| Field | R1 0528 DeepSeek | DeepSeek V4.1 Flash DeepSeek |
|---|---|---|
| ModelCap position | #59 | #40 |
| Index score | 57.6 | 65.2 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimatedpublisher-corpus-prior over 185 held-out anchors (22%); opens from measured predecessor deepseek/deepseek-v4-flash-0731 (78%); shrunk 2 toward the measured corpus |
| Input / 1M | $0.50 | $0.15 |
| Output / 1M | $2.15 | $0.60 |
| Pricing status | fresh | fresh |
| Context | 164K | 1M |
| Providers | 4 | 3 |
| Weight access | Open weights | Open weights |
Decision facts
- R1 0528 is #59; DeepSeek V4.1 Flash is #40 on the same current language board.
- Index scores are 57.6 for R1 0528 and 65.2 for DeepSeek V4.1 Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: R1 0528 is Measured; DeepSeek V4.1 Flash is Estimated.
- Listed output price per 1M tokens is $2.15 for R1 0528 and $0.60 for DeepSeek V4.1 Flash. 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 $0.60 for DeepSeek V4.1 Flash. DeepSeek V4.1 Flash costs 71.1% 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 1,048,576 for DeepSeek V4.1 Flash.
- ModelCap currently lists 4 providers for R1 0528 and 3 for DeepSeek V4.1 Flash.
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.