Model decision surface

Compare AI models

Start with Qwen3.5 0.8B and Qwen3.5 2B, 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

Qwen3.5 0.8B vs Qwen3.5 2B

Live dataset updated 10/21/2026, 8:49:33 AM UTC

Open 1200×630 evidence receipt

Factual comparison of Qwen3.5 0.8B and Qwen3.5 2B
Field	Qwen3.5 0.8B Qwen	Qwen3.5 2B Qwen
ModelCap position	#204	#151
Index score	35.2	41.3
Evidence	Estimated7 reported rows against measured corpus ladders (63%); publisher-corpus-prior over 210 held-out anchors (37%); shrunk 9.1 up toward the measured corpus	Estimated7 reported rows against measured corpus ladders (51%); publisher-corpus-prior over 210 held-out anchors (50%); shrunk 9 up toward the measured corpus
Input / 1M	Unavailable	Unavailable
Output / 1M	Unavailable	Unavailable
Pricing status	unavailable	unavailable
Context	—	—
Providers	0	0
Weight access	Open weights	Open weights

Decision facts

Qwen3.5 0.8B is #204; Qwen3.5 2B is #151 on the same current language board.
Index scores are 35.2 for Qwen3.5 0.8B and 41.3 for Qwen3.5 2B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Both positions use Estimated evidence.

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.