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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V3.2 and Xing4.0 29B A4B, 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 V3.2 vs Xing4.0 29B A4B

Live dataset updated 9/17/2026, 1:44:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V3.2 and Xing4.0 29B A4B
Field
Xing4.0 29B A4B

XingChen AGI

ModelCap position#57#60
Index score58.557.8
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedglobal-corpus-prior over 197 held-out anchors (16%); launch card against 2 resolved peers on 5 rows (85%); exceeds every named peer on 1 of 5 rows; optimism haircut 0 from cross-lab-probe; shrunk 1.2 toward the measured corpus
Input / 1M$0.269Unavailable
Output / 1M$0.40Unavailable
Pricing statusfreshunavailable
Context164K
Providers150
Weight accessOpen weightsOpen weights

Decision facts

  • DeepSeek V3.2 is #57; Xing4.0 29B A4B is #60 on the same current language board.
  • Index scores are 58.5 for DeepSeek V3.2 and 57.8 for Xing4.0 29B A4B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: DeepSeek V3.2 is Measured; Xing4.0 29B A4B is Estimated.
  • ModelCap currently lists 15 providers for DeepSeek V3.2 and 0 for Xing4.0 29B A4B.

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.