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ModelCap

Model decision surface

Compare AI models

Start with Kimi K2.7 Code and Qwen3 235B A22B 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 235B A22B Instruct 2507

Live dataset updated 9/10/2026, 3:47:06 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Kimi K2.7 Code and Qwen3 235B A22B Instruct 2507
Field
Kimi K2.7 Code

Moonshot AI

ModelCap position#52#55
Index score59.758.3
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.71$0.22
Output / 1M$3.50$0.88
Pricing statusfreshfresh
Context262K262K
Providers1410
Weight accessRestricted licenseOpen weights

Decision facts

  • Kimi K2.7 Code is #52; Qwen3 235B A22B Instruct 2507 is #55 on the same current language board.
  • Index scores are 59.7 for Kimi K2.7 Code and 58.3 for Qwen3 235B A22B Instruct 2507. 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 $3.50 for Kimi K2.7 Code and $0.88 for Qwen3 235B A22B Instruct 2507. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.17 for Kimi K2.7 Code versus $0.88 for Qwen3 235B A22B Instruct 2507. Qwen3 235B A22B Instruct 2507 costs 72.2% 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 262,144 tokens for Kimi K2.7 Code and 262,144 for Qwen3 235B A22B Instruct 2507.
  • Weight access differs: Kimi K2.7 Code is restricted; Qwen3 235B A22B Instruct 2507 is open.
  • ModelCap currently lists 14 providers for Kimi K2.7 Code and 10 for Qwen3 235B A22B 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.