Model decision surface

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Start with Muse Wonder and GPT-6.1 Sol, 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

Muse Wonder vs GPT-6.1 Sol

Live dataset updated 10/12/2026, 5:49:31 PM UTC

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Factual comparison of Muse Wonder and GPT-6.1 Sol
Field	Muse Wonder Meta	GPT-6.1 Sol OpenAI
ModelCap position	#6	#7
Index score	83.0	82.7
Evidence	Estimated1 reported rows against measured corpus ladders (69%); publisher-corpus-prior over 211 held-out anchors (31%); shrunk 0.2 up toward the measured corpus	Measured5 public benchmark observations across 5 boards
Input / 1M	$4.00	$2.00
Output / 1M	$20.00	$10.00
Pricing status	fresh	fresh
Context	1M	1M
Providers	1	3
Weight access	No linked weights	No linked weights

Decision facts

Muse Wonder is #6; GPT-6.1 Sol is #7 on the same current language board.
Index scores are 83.0 for Muse Wonder and 82.7 for GPT-6.1 Sol. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: Muse Wonder is Estimated; GPT-6.1 Sol is Measured.
Listed output price per 1M tokens is $20.00 for Muse Wonder and $10.00 for GPT-6.1 Sol. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $18.00 for Muse Wonder versus $9.00 for GPT-6.1 Sol. GPT-6.1 Sol costs 50.0% 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 Wonder and 1,050,000 for GPT-6.1 Sol.
ModelCap currently lists 1 providers for Muse Wonder and 3 for GPT-6.1 Sol.

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

Popular comparisons

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.