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Model decision surface

Compare AI models

Start with Gemma 4 26B A4B and Laguna S 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

Gemma 4 26B A4B vs Laguna S 2.1

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

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 26B A4B and Laguna S 2.1
Field
Laguna S 2.1

Poolside

ModelCap position#38#39
Index score65.064.4
EvidenceMeasured2 public benchmark observations across 2 boardsEstimated5 reported rows against measured corpus ladders (70%); global-corpus-prior over 183 held-out anchors (30%); shrunk 4.6 toward the measured corpus
Input / 1M$0.07$0.09
Output / 1M$0.34$0.18
Pricing statusfreshfresh
Context262K1M
Providers91
Weight accessOpen weightsRestricted license

Decision facts

  • Gemma 4 26B A4B is #38; Laguna S 2.1 is #39 on the same current language board.
  • Index scores are 65.0 for Gemma 4 26B A4B and 64.4 for Laguna S 2.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma 4 26B A4B is Measured; Laguna S 2.1 is Estimated.
  • Listed output price per 1M tokens is $0.34 for Gemma 4 26B A4B and $0.18 for Laguna S 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 $0.31 for Gemma 4 26B A4B versus $0.27 for Laguna S 2.1. Laguna S 2.1 costs 12.9% 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 Gemma 4 26B A4B and 1,048,576 for Laguna S 2.1.
  • Weight access differs: Gemma 4 26B A4B is open; Laguna S 2.1 is restricted.
  • ModelCap currently lists 9 providers for Gemma 4 26B A4B and 1 for Laguna S 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.