Model decision surface

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Start with Gemini 3.5 Flash Lite and Muse Wonder, 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

Gemini 3.5 Flash Lite vs Muse Wonder

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

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Factual comparison of Gemini 3.5 Flash Lite and Muse Wonder
Field	Gemini 3.5 Flash Lite Google	Muse Wonder Meta
ModelCap position	#33	#6
Index score	72.6	83.0
Evidence	Measured3 public benchmark observations across 3 boards	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
Input / 1M	$0.30	$4.00
Output / 1M	$2.50	$20.00
Pricing status	fresh	fresh
Context	1M	1M
Providers	2	1
Weight access	No linked weights	No linked weights

Decision facts

Gemini 3.5 Flash Lite is #33; Muse Wonder is #6 on the same current language board.
Index scores are 72.6 for Gemini 3.5 Flash Lite and 83.0 for Muse Wonder. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: Gemini 3.5 Flash Lite is Measured; Muse Wonder is Estimated.
Listed output price per 1M tokens is $2.50 for Gemini 3.5 Flash Lite and $20.00 for Muse Wonder. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.85 for Gemini 3.5 Flash Lite versus $18.00 for Muse Wonder. Gemini 3.5 Flash Lite costs 89.7% 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 Gemini 3.5 Flash Lite and 1,048,576 for Muse Wonder.
ModelCap currently lists 2 providers for Gemini 3.5 Flash Lite and 1 for Muse Wonder.

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.