Skip to content
ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4.1 Flash and Nex-N2.5-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

DeepSeek V4.1 Flash vs Nex-N2.5-Pro

Live dataset updated 9/12/2026, 1:09:54 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4.1 Flash and Nex-N2.5-Pro
Field
ModelCap position#16#18
Index score76.675.7
EvidenceMeasured1 public benchmark observation across 1 boardEstimatedglobal-corpus-prior over 188 held-out anchors (10%); launch card against 8 resolved peers on 8 rows (90%); exceeds every named peer on 1 of 8 rows; optimism haircut 0 from cross-lab-probe; shrunk 2.4 toward the measured corpus
Input / 1M$0.15Free
Output / 1M$0.60Free
Pricing statusfreshfresh
Context1M262K
Providers121
Weight accessOpen weightsOpen weights

Decision facts

  • DeepSeek V4.1 Flash is #16; Nex-N2.5-Pro is #18 on the same current language board.
  • Index scores are 76.6 for DeepSeek V4.1 Flash and 75.7 for Nex-N2.5-Pro. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: DeepSeek V4.1 Flash is Measured; Nex-N2.5-Pro is Estimated.
  • Listed output price per 1M tokens is $0.60 for DeepSeek V4.1 Flash and $0 for Nex-N2.5-Pro. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.60 for DeepSeek V4.1 Flash versus $0 for Nex-N2.5-Pro. Nex-N2.5-Pro 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 V4.1 Flash and 262,144 for Nex-N2.5-Pro.
  • ModelCap currently lists 12 providers for DeepSeek V4.1 Flash and 1 for Nex-N2.5-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.

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.