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Start with Gemma 4 31B and Muse Spark 1.3, 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

Gemma 4 31B vs Muse Spark 1.3

Live dataset updated 9/9/2026, 8:46:14 PM UTC

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Factual comparison of Gemma 4 31B and Muse Spark 1.3
Field	Gemma 4 31B Google	Muse Spark 1.3 Meta
ModelCap position	#27	#2
Index score	69.7	88.7
Evidence	Measured3 public benchmark observations across 3 boards	Measured1 public benchmark observation across 1 board
Input / 1M	$0.09	$1.25
Output / 1M	$0.34	$4.25
Pricing status	fresh	fresh
Context	262K	1M
Providers	13	1
Weight access	Open weights	API only

Decision facts

Gemma 4 31B is #27; Muse Spark 1.3 is #2 on the same current language board.
Index scores are 69.7 for Gemma 4 31B and 88.7 for Muse Spark 1.3. 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 $0.34 for Gemma 4 31B and $4.25 for Muse Spark 1.3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.35 for Gemma 4 31B versus $4.63 for Muse Spark 1.3. Gemma 4 31B costs 92.4% 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 262,144 tokens for Gemma 4 31B and 1,048,576 for Muse Spark 1.3.
Weight access differs: Gemma 4 31B is open; Muse Spark 1.3 is none.
ModelCap currently lists 13 providers for Gemma 4 31B and 1 for Muse Spark 1.3.

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.