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Start with gemma 4 E2B it and Qwen3 Next 80B A3B Thinking, 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 E2B it vs Qwen3 Next 80B A3B Thinking

Live dataset updated 9/13/2026, 2:40:29 PM UTC

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Factual comparison of gemma 4 E2B it and Qwen3 Next 80B A3B Thinking
Field	gemma 4 E2B it Google	Qwen3 Next 80B A3B Thinking Qwen
ModelCap position	#109	#108
Index score	40.5	40.6
Evidence	Estimatedpublisher-corpus-prior over 186 held-out anchors (8%); launch card against 3 resolved peers on 5 rows (92%); no cross-lab optimism probe available; shrunk 2.2 up toward the measured corpus	Measured2 public benchmark observations across 2 boards
Input / 1M	Unavailable	$0.15
Output / 1M	Unavailable	$1.20
Pricing status	unavailable	fresh
Context	—	262K
Providers	0	2
Weight access	Open weights	Open weights

Decision facts

gemma 4 E2B it is #109; Qwen3 Next 80B A3B Thinking is #108 on the same current language board.
Index scores are 40.5 for gemma 4 E2B it and 40.6 for Qwen3 Next 80B A3B Thinking. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: gemma 4 E2B it is Estimated; Qwen3 Next 80B A3B Thinking is Measured.
ModelCap currently lists 0 providers for gemma 4 E2B it and 2 for Qwen3 Next 80B A3B Thinking.

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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