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ModelCap

Model decision surface

Compare AI models

Start with Kimi K3 and MiMo-V2.6-Flash, 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 K3 vs MiMo-V2.6-Flash

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Kimi K3 and MiMo-V2.6-Flash
Field
Kimi K3

Moonshot AI

ModelCap position#12#10
Index score84.084.4
EvidenceMeasured6 public benchmark observations across 6 boardsEstimatedpublisher-corpus-prior over 209 held-out anchors (8%); launch card against 5 resolved peers on 7 rows (92%); exceeds every named peer on 1 of 7 rows; no cross-lab optimism probe available; shrunk 0.7 toward the measured corpus
Input / 1M$3.00$0.14
Output / 1M$15.00$0.28
Pricing statusfreshfresh
Context1M1M
Providers172
Weight accessRestricted licenseOpen weights

Decision facts

  • Kimi K3 is #12; MiMo-V2.6-Flash is #10 on the same current language board.
  • Index scores are 84.0 for Kimi K3 and 84.4 for MiMo-V2.6-Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Kimi K3 is Measured; MiMo-V2.6-Flash is Estimated.
  • Listed output price per 1M tokens is $15.00 for Kimi K3 and $0.28 for MiMo-V2.6-Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $13.50 for Kimi K3 versus $0.42 for MiMo-V2.6-Flash. MiMo-V2.6-Flash costs 96.9% 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 Kimi K3 and 1,048,576 for MiMo-V2.6-Flash.
  • Weight access differs: Kimi K3 is restricted; MiMo-V2.6-Flash is open.
  • ModelCap currently lists 17 providers for Kimi K3 and 2 for MiMo-V2.6-Flash.

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.