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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4 Pro 0813 and Nex-N2.5-Mini, 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 V4 Pro 0813 vs Nex-N2.5-Mini

Live dataset updated 9/9/2026, 8:18:44 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4 Pro 0813 and Nex-N2.5-Mini
Field
ModelCap position#20#22
Index score73.672.2
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedglobal-corpus-prior over 182 held-out anchors (7%); launch card against 7 resolved peers on 8 rows (93%); optimism haircut 0 from cross-lab-probe; shrunk 1.4 toward the measured corpus
Input / 1M$0.579Free
Output / 1M$1.74Free
Pricing statusfreshfresh
Context1M262K
Providers191
Weight accessOpen weightsOpen weights

Decision facts

  • DeepSeek V4 Pro 0813 is #20; Nex-N2.5-Mini is #22 on the same current language board.
  • Index scores are 73.6 for DeepSeek V4 Pro 0813 and 72.2 for Nex-N2.5-Mini. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: DeepSeek V4 Pro 0813 is Measured; Nex-N2.5-Mini is Estimated.
  • Listed output price per 1M tokens is $1.74 for DeepSeek V4 Pro 0813 and $0 for Nex-N2.5-Mini. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.03 for DeepSeek V4 Pro 0813 versus $0 for Nex-N2.5-Mini. Nex-N2.5-Mini costs 100.0% 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 1,048,576 tokens for DeepSeek V4 Pro 0813 and 262,144 for Nex-N2.5-Mini.
  • ModelCap currently lists 19 providers for DeepSeek V4 Pro 0813 and 1 for Nex-N2.5-Mini.

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.