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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.8 27B and Grok 4.6, 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

Qwen3.8 27B vs Grok 4.6

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3.8 27B and Grok 4.6
Field
ModelCap position#16#10
Index score69.674.4
EvidenceMeasured1 public benchmark observation across 1 boardMeasured5 public benchmark observations across 5 boards
Input / 1M$0.45$2.00
Output / 1M$3.20$6.00
Pricing statusfreshfresh
Context262K500K
Providers31
Weight accessOpen weightsAPI only

Decision facts

  • Qwen3.8 27B is #16; Grok 4.6 is #10 on the same current language board.
  • Index scores are 69.6 for Qwen3.8 27B and 74.4 for Grok 4.6.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $3.20 for Qwen3.8 27B and $6.00 for Grok 4.6.
  • Published context is 262,144 tokens for Qwen3.8 27B and 500,000 for Grok 4.6.
  • Weight access differs: Qwen3.8 27B is open; Grok 4.6 is none.
  • ModelCap currently lists 3 providers for Qwen3.8 27B and 1 for Grok 4.6.

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.