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ModelCap

Model decision surface

Compare AI models

Start with Muse Spark 1.3 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.

Current public data

Muse Spark 1.3 vs Grok 4.7

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

Open 1200×630 evidence receipt
Factual comparison of Muse Spark 1.3 and Grok 4.7
Field
ModelCap position#6#4
Index score84.385.0
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$1.25$1.60
Output / 1M$4.25$4.80
Pricing statusfreshfresh
Context1M500K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Muse Spark 1.3 is #6; Grok 4.7 is #4 on the same current language board.
  • Index scores are 84.3 for Muse Spark 1.3 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 $4.25 for Muse Spark 1.3 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 $4.63 for Muse Spark 1.3 versus $5.60 for Grok 4.7. Muse Spark 1.3 costs 17.4% 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 Muse Spark 1.3 and 500,000 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.

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.