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ModelCap

Model decision surface

Compare AI models

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

Live dataset updated 11/6/2026, 8:49:50 PM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M3.1 Flash and GPT-6.1 Terra
Field
ModelCap position#28#29
Index score75.775.4
EvidenceMeasuredpublisher-corpus-prior over 210 held-out anchors (6%); 1 specialist-board observation at 2.5% support (5%); launch card against 5 resolved peers on 6 rows (89%); optimism haircut 0 from cross-lab-probe; shrunk 1.6 toward the measured corpusMeasured1 reported rows against measured corpus ladders (21%); publisher-corpus-prior over 210 held-out anchors (14%); opens above measured predecessor openai/gpt-5.6-terra on same-family ordering evidence (53%); 1 specialist-board observation at 2.5% support (12%); shrunk 3.5 toward the measured corpus
Input / 1M$0.075$1.00
Output / 1M$0.30$5.00
Pricing statusfreshfresh
Context1M1M
Providers123
Weight accessRestricted licenseNo linked weights

Decision facts

  • MiniMax M3.1 Flash is #28; GPT-6.1 Terra is #29 on the same current language board.
  • Index scores are 75.7 for MiniMax M3.1 Flash and 75.4 for GPT-6.1 Terra. 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 MiniMax M3.1 Flash and $5.00 for GPT-6.1 Terra. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.30 for MiniMax M3.1 Flash versus $4.50 for GPT-6.1 Terra. 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 Terra.
  • Weight access differs: MiniMax M3.1 Flash is restricted; GPT-6.1 Terra is none.
  • ModelCap currently lists 12 providers for MiniMax M3.1 Flash and 3 for GPT-6.1 Terra.

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.