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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M3 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

MiniMax M3 vs Laguna S 2.1

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

Open 1200×630 evidence receipt
Factual comparison of MiniMax M3 and Laguna S 2.1
Field
MiniMax M3

MiniMax

Laguna S 2.1

Poolside

ModelCap position#36#39
Index score65.664.4
EvidenceMeasured4 public benchmark observations across 4 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$0.30$0.09
Output / 1M$1.20$0.18
Pricing statusfreshfresh
Context1M1M
Providers121
Weight accessRestricted licenseRestricted license

Decision facts

  • MiniMax M3 is #36; Laguna S 2.1 is #39 on the same current language board.
  • Index scores are 65.6 for MiniMax M3 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: MiniMax M3 is Measured; Laguna S 2.1 is Estimated.
  • Listed output price per 1M tokens is $1.20 for MiniMax M3 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 $1.20 for MiniMax M3 versus $0.27 for Laguna S 2.1. Laguna S 2.1 costs 77.5% 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 MiniMax M3 and 1,048,576 for Laguna S 2.1.
  • ModelCap currently lists 12 providers for MiniMax M3 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.