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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M1 80k and GPT-3.5 Turbo Instruct, 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 M1 80k vs GPT-3.5 Turbo Instruct

Live dataset updated 8/18/2026, 4:14:24 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M1 80k and GPT-3.5 Turbo Instruct
Field
ModelCap position#114#111
Index score22.022.1
EvidenceMeasured1 public benchmark observation across 1 boardEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1MUnavailable$1.50
Output / 1MUnavailable$2.00
Pricing statusunavailablefresh
Context1M4K
Providers01
Weight accessOpen weightsAPI only

Decision facts

  • MiniMax M1 80k is #114; GPT-3.5 Turbo Instruct is #111 on the same current language board.
  • Index scores are 22.0 for MiniMax M1 80k and 22.1 for GPT-3.5 Turbo Instruct.
  • Evidence differs: MiniMax M1 80k is Measured; GPT-3.5 Turbo Instruct is Estimated.
  • Published context is 1,000,000 tokens for MiniMax M1 80k and 4,095 for GPT-3.5 Turbo Instruct.
  • Weight access differs: MiniMax M1 80k is open; GPT-3.5 Turbo Instruct is none.
  • ModelCap currently lists 0 providers for MiniMax M1 80k and 1 for GPT-3.5 Turbo Instruct.

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.