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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4.1 Flash and Laguna XS 2.1, 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 XS 2.1

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4.1 Flash and Laguna XS 2.1
Field
ModelCap position#21#81
Index score75.150.8
EvidenceMeasured2 public benchmark observations across 2 boardsEstimated3 reported rows against measured corpus ladders (27%); global-corpus-prior over 194 held-out anchors (73%); shrunk 3.7 up toward the measured corpus
Input / 1M$0.15$0.06
Output / 1M$0.60$0.12
Pricing statusfreshfresh
Context1M262K
Providers171
Weight accessOpen weightsRestricted license

Decision facts

  • DeepSeek V4.1 Flash is #21; Laguna XS 2.1 is #81 on the same current language board.
  • Index scores are 75.1 for DeepSeek V4.1 Flash and 50.8 for Laguna XS 2.1. 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; Laguna XS 2.1 is Estimated.
  • Listed output price per 1M tokens is $0.60 for DeepSeek V4.1 Flash and $0.12 for Laguna XS 2.1. 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 $0.18 for Laguna XS 2.1. Laguna XS 2.1 costs 70.0% 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 Laguna XS 2.1.
  • Weight access differs: DeepSeek V4.1 Flash is open; Laguna XS 2.1 is restricted.
  • ModelCap currently lists 17 providers for DeepSeek V4.1 Flash and 1 for Laguna XS 2.1.

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.