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ModelCap

Model decision surface

Compare AI models

Start with Laguna XS 2.1 and Qwen3.5-122B-A10B, 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 XS 2.1 vs Qwen3.5-122B-A10B

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Laguna XS 2.1 and Qwen3.5-122B-A10B
Field
ModelCap position#60#59
Index score54.955.2
EvidenceEstimated3 reported rows against measured corpus ladders (30%); global-corpus-prior over 180 held-out anchors (70%); shrunk 1.3 toward the measured corpusMeasured3 public benchmark observations across 3 boards
Input / 1M$0.06$0.29
Output / 1M$0.12$2.40
Pricing statusfreshfresh
Context262K262K
Providers15
Weight accessRestricted licenseOpen weights

Decision facts

  • Laguna XS 2.1 is #60; Qwen3.5-122B-A10B is #59 on the same current language board.
  • Index scores are 54.9 for Laguna XS 2.1 and 55.2 for Qwen3.5-122B-A10B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Laguna XS 2.1 is Estimated; Qwen3.5-122B-A10B is Measured.
  • Listed output price per 1M tokens is $0.12 for Laguna XS 2.1 and $2.40 for Qwen3.5-122B-A10B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.18 for Laguna XS 2.1 versus $1.78 for Qwen3.5-122B-A10B. Laguna XS 2.1 costs 89.9% 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 262,144 tokens for Laguna XS 2.1 and 262,144 for Qwen3.5-122B-A10B.
  • Weight access differs: Laguna XS 2.1 is restricted; Qwen3.5-122B-A10B is open.
  • ModelCap currently lists 1 providers for Laguna XS 2.1 and 5 for Qwen3.5-122B-A10B.

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.