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ModelCap

Model decision surface

Compare AI models

Start with MiMo-V2.6-Pro and GLM 5.3, 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

MiMo-V2.6-Pro vs GLM 5.3

Live dataset updated 9/22/2026, 1:40:35 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiMo-V2.6-Pro and GLM 5.3
Field
ModelCap position#5#10
Index score84.982.4
EvidenceMeasured1 public benchmark observation across 1 boardMeasured4 public benchmark observations across 4 boards
Input / 1M$0.435$0.784
Output / 1M$0.87$2.46
Pricing statusfreshfresh
Context1M1.3M
Providers130
Weight accessAPI onlyRestricted license

Decision facts

  • MiMo-V2.6-Pro is #5; GLM 5.3 is #10 on the same current language board.
  • Index scores are 84.9 for MiMo-V2.6-Pro and 82.4 for GLM 5.3. 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 $0.87 for MiMo-V2.6-Pro and $2.46 for GLM 5.3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.30 for MiMo-V2.6-Pro versus $2.80 for GLM 5.3. MiMo-V2.6-Pro costs 53.4% 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 MiMo-V2.6-Pro and 1,310,720 for GLM 5.3.
  • Weight access differs: MiMo-V2.6-Pro is none; GLM 5.3 is restricted.
  • ModelCap currently lists 1 providers for MiMo-V2.6-Pro and 30 for GLM 5.3.

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.