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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4.1 Flash and Laguna M.1, 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 Laguna M.1

Live dataset updated 9/10/2026, 11:40:10 AM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4.1 Flash and Laguna M.1
Field
Laguna M.1

Poolside

ModelCap position#40#42
Index score65.264.5
EvidenceEstimatedpublisher-corpus-prior over 185 held-out anchors (22%); opens from measured predecessor deepseek/deepseek-v4-flash-0731 (78%); shrunk 2 toward the measured corpusEstimatedglobal-corpus-prior over 185 held-out anchors (7%); launch card against 3 resolved peers on 3 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 0.8 toward the measured corpus
Input / 1M$0.15Unavailable
Output / 1M$0.60Unavailable
Pricing statusfreshunavailable
Context1M
Providers30
Weight accessOpen weightsOpen weights

Decision facts

  • DeepSeek V4.1 Flash is #40; Laguna M.1 is #42 on the same current language board.
  • Index scores are 65.2 for DeepSeek V4.1 Flash and 64.5 for Laguna M.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Estimated evidence.
  • ModelCap currently lists 3 providers for DeepSeek V4.1 Flash and 0 for Laguna M.1.

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.