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ModelCap

Model decision surface

Compare AI models

Start with K2 Horizon 32B and Qwen3 235B A22B Thinking 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

K2 Horizon 32B vs Qwen3 235B A22B Thinking 2507

Live dataset updated 9/10/2026, 12:20:08 AM UTC

Open 1200×630 evidence receipt
Factual comparison of K2 Horizon 32B and Qwen3 235B A22B Thinking 2507
Field
ModelCap position#83#80
Index score48.449.3
EvidenceEstimatedglobal-corpus-prior over 183 held-out anchors (49%); launch card against 2 resolved peers on 8 rows (51%); exceeds every named peer on 1 of 8 rows; optimism haircut 1.3 from cross-lab-probe; shrunk 4.9 up toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.23
Output / 1MUnavailable$2.30
Pricing statusunavailablefresh
Context—131K
Providers03
Weight accessOpen weightsOpen weights

Decision facts

  • K2 Horizon 32B is #83; Qwen3 235B A22B Thinking 2507 is #80 on the same current language board.
  • Index scores are 48.4 for K2 Horizon 32B and 49.3 for Qwen3 235B A22B Thinking 2507. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: K2 Horizon 32B is Estimated; Qwen3 235B A22B Thinking 2507 is Measured.
  • ModelCap currently lists 0 providers for K2 Horizon 32B and 3 for Qwen3 235B A22B Thinking 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.