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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 26B A4B and MiniMax M3, 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 MiniMax M3

Live dataset updated 9/22/2026, 9:31:46 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 26B A4B and MiniMax M3
Field
MiniMax M3

MiniMax

ModelCap position#38#37
Index score70.270.8
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured4 public benchmark observations across 4 boards
Input / 1M$0.09$0.30
Output / 1M$0.30$1.20
Pricing statusfreshfresh
Context262K1M
Providers1213
Weight accessOpen weightsRestricted license

Decision facts

  • Gemma 4 26B A4B is #38; MiniMax M3 is #37 on the same current language board.
  • Index scores are 70.2 for Gemma 4 26B A4B and 70.8 for MiniMax M3. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.30 for Gemma 4 26B A4B and $1.20 for MiniMax M3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.33 for Gemma 4 26B A4B versus $1.20 for MiniMax M3. Gemma 4 26B A4B costs 72.5% 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 262,144 tokens for Gemma 4 26B A4B and 1,048,576 for MiniMax M3.
  • Weight access differs: Gemma 4 26B A4B is open; MiniMax M3 is restricted.
  • ModelCap currently lists 12 providers for Gemma 4 26B A4B and 13 for MiniMax M3.

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.