Model decision surface

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Start with Kimi K3 and Grok 4.7, 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.

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Current public data

Kimi K3 vs Grok 4.7

Live dataset updated 9/22/2026, 1:40:35 AM UTC

Open 1200×630 evidence receipt

Factual comparison of Kimi K3 and Grok 4.7
Field	Kimi K3 Moonshot AI	Grok 4.7 xAI
ModelCap position	#11	#4
Index score	82.2	85.0
Evidence	Measured6 public benchmark observations across 6 boards	Measured1 public benchmark observation across 1 board
Input / 1M	$3.00	$1.60
Output / 1M	$15.00	$4.80
Pricing status	fresh	fresh
Context	1M	500K
Providers	17	1
Weight access	Restricted license	API only

Decision facts

Kimi K3 is #11; Grok 4.7 is #4 on the same current language board.
Index scores are 82.2 for Kimi K3 and 85.0 for Grok 4.7. 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 $15.00 for Kimi K3 and $4.80 for Grok 4.7. 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 $5.60 for Grok 4.7. Grok 4.7 costs 58.5% 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 500,000 for Grok 4.7.
Weight access differs: Kimi K3 is restricted; Grok 4.7 is none.
ModelCap currently lists 17 providers for Kimi K3 and 1 for Grok 4.7.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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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.