Skip to content
ModelCap

Model decision surface

Compare AI models

Start with MiniMax M3.1 Flash and GPT-6.1 Sol, 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 M3.1 Flash vs GPT-6.1 Sol

Live dataset updated 10/23/2026, 8:09:43 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M3.1 Flash and GPT-6.1 Sol
Field
ModelCap position#22#8
Index score77.480.7
EvidenceEstimatedpublisher-corpus-prior over 211 held-out anchors (6%); launch card against 5 resolved peers on 6 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 1.9 toward the measured corpusMeasured5 public benchmark observations across 5 boards
Input / 1M$0.15$2.00
Output / 1M$0.60$10.00
Pricing statusfreshfresh
Context1M1M
Providers53
Weight accessRestricted licenseNo linked weights

Decision facts

  • MiniMax M3.1 Flash is #22; GPT-6.1 Sol is #8 on the same current language board.
  • Index scores are 77.4 for MiniMax M3.1 Flash and 80.7 for GPT-6.1 Sol. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: MiniMax M3.1 Flash is Estimated; GPT-6.1 Sol is Measured.
  • Listed output price per 1M tokens is $0.60 for MiniMax M3.1 Flash and $10.00 for GPT-6.1 Sol. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.60 for MiniMax M3.1 Flash versus $9.00 for GPT-6.1 Sol. MiniMax M3.1 Flash costs 93.3% 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 M3.1 Flash and 1,050,000 for GPT-6.1 Sol.
  • Weight access differs: MiniMax M3.1 Flash is restricted; GPT-6.1 Sol is none.
  • ModelCap currently lists 5 providers for MiniMax M3.1 Flash and 3 for GPT-6.1 Sol.

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.