Model decision surface
Compare AI models
Start with DeepSeek V3.1 Terminus 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
DeepSeek V3.1 Terminus vs DeepSeek V4 Pro 0813
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | DeepSeek V3.1 Terminus DeepSeek | DeepSeek V4 Pro 0813 DeepSeek |
|---|---|---|
| ModelCap position | #62 | #20 |
| Index score | 54.0 | 73.6 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.27 | $0.579 |
| Output / 1M | $1.00 | $1.74 |
| Pricing status | fresh | fresh |
| Context | 164K | 1M |
| Providers | 4 | 19 |
| Weight access | Open weights | Open weights |
Decision facts
- DeepSeek V3.1 Terminus is #62; DeepSeek V4 Pro 0813 is #20 on the same current language board.
- Index scores are 54.0 for DeepSeek V3.1 Terminus and 73.6 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 $1.00 for DeepSeek V3.1 Terminus and $1.74 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 $1.04 for DeepSeek V3.1 Terminus versus $2.03 for DeepSeek V4 Pro 0813. DeepSeek V3.1 Terminus costs 48.7% 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 DeepSeek V3.1 Terminus and 1,048,576 for DeepSeek V4 Pro 0813.
- ModelCap currently lists 4 providers for DeepSeek V3.1 Terminus and 19 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.