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ModelCap

Model decision surface

Compare AI models

Start with Laguna S 2.1 and Qwen3.8 27B, 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

Laguna S 2.1 vs Qwen3.8 27B

Live dataset updated 9/10/2026, 1:00:55 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Laguna S 2.1 and Qwen3.8 27B
Field
Laguna S 2.1

Poolside

ModelCap position#39#37
Index score64.465.2
EvidenceEstimated5 reported rows against measured corpus ladders (70%); global-corpus-prior over 183 held-out anchors (30%); shrunk 4.6 toward the measured corpusMeasured4 public benchmark observations across 4 boards
Input / 1M$0.09$0.42
Output / 1M$0.18$3.00
Pricing statusfreshfresh
Context1M1M
Providers113
Weight accessRestricted licenseOpen weights

Decision facts

  • Laguna S 2.1 is #39; Qwen3.8 27B is #37 on the same current language board.
  • Index scores are 64.4 for Laguna S 2.1 and 65.2 for Qwen3.8 27B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Laguna S 2.1 is Estimated; Qwen3.8 27B is Measured.
  • Listed output price per 1M tokens is $0.18 for Laguna S 2.1 and $3.00 for Qwen3.8 27B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.27 for Laguna S 2.1 versus $2.34 for Qwen3.8 27B. Laguna S 2.1 costs 88.5% 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 Laguna S 2.1 and 1,000,000 for Qwen3.8 27B.
  • Weight access differs: Laguna S 2.1 is restricted; Qwen3.8 27B is open.
  • ModelCap currently lists 1 providers for Laguna S 2.1 and 13 for Qwen3.8 27B.

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.