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ModelCap

Model decision surface

Compare AI models

Start with Kimi K2.7 Code and Qwen3 4B Instruct 2507, 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

Kimi K2.7 Code vs Qwen3 4B Instruct 2507

Live dataset updated 9/3/2026, 3:06:08 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Kimi K2.7 Code and Qwen3 4B Instruct 2507
Field
Kimi K2.7 Code

Moonshot AI

ModelCap position#30#115
Index score62.223.0
EvidenceMeasured3 public benchmark observations across 3 boardsEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$0.66Unavailable
Output / 1M$3.40Unavailable
Pricing statusfreshunavailable
Context262K262K
Providers150
Weight accessRestricted licenseOpen weights

Decision facts

  • Kimi K2.7 Code is #30; Qwen3 4B Instruct 2507 is #115 on the same current language board.
  • Index scores are 62.2 for Kimi K2.7 Code and 23.0 for Qwen3 4B Instruct 2507.
  • Evidence differs: Kimi K2.7 Code is Measured; Qwen3 4B Instruct 2507 is Estimated.
  • Published context is 262,144 tokens for Kimi K2.7 Code and 262,144 for Qwen3 4B Instruct 2507.
  • Weight access differs: Kimi K2.7 Code is restricted; Qwen3 4B Instruct 2507 is open.
  • ModelCap currently lists 15 providers for Kimi K2.7 Code and 0 for Qwen3 4B Instruct 2507.

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.