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Start with Gemma 4 26B A4B and Gemma 4 31B, 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 26B A4B vs Gemma 4 31B

Live dataset updated 9/22/2026, 9:31:46 PM UTC

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Factual comparison of Gemma 4 26B A4B and Gemma 4 31B
Field	Gemma 4 26B A4B Google	Gemma 4 31B Google
ModelCap position	#38	#29
Index score	70.2	73.8
Evidence	Measured2 public benchmark observations across 2 boards	Measured3 public benchmark observations across 3 boards
Input / 1M	$0.09	$0.09
Output / 1M	$0.30	$0.34
Pricing status	fresh	fresh
Context	262K	262K
Providers	12	11
Weight access	Open weights	Open weights

Decision facts

Gemma 4 26B A4B is #38; Gemma 4 31B is #29 on the same current language board.
Index scores are 70.2 for Gemma 4 26B A4B and 73.8 for Gemma 4 31B. 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 $0.30 for Gemma 4 26B A4B and $0.34 for Gemma 4 31B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.33 for Gemma 4 26B A4B versus $0.35 for Gemma 4 31B. Gemma 4 26B A4B costs 5.7% 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 262,144 tokens for Gemma 4 26B A4B and 262,144 for Gemma 4 31B.
ModelCap currently lists 12 providers for Gemma 4 26B A4B and 11 for Gemma 4 31B.

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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