Model decision surface

Compare AI models

Start with Qwen3.5-9B and GLM 4.6V, 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

Qwen3.5-9B vs GLM 4.6V

Live dataset updated 9/10/2026, 3:47:06 AM UTC

Open 1200×630 evidence receipt

Factual comparison of Qwen3.5-9B and GLM 4.6V
Field	Qwen3.5-9B Qwen	GLM 4.6V Z.ai
ModelCap position	#100	#97
Index score	41.5	42.7
Evidence	Estimatedpublisher-corpus-prior over 184 held-out anchors (29%); launch card against 3 resolved peers on 10 rows (71%); exceeds every named peer on 4 of 10 rows; optimism haircut 0.6 from cross-lab-probe; shrunk 3.6 up toward the measured corpus	Measured2 public benchmark observations across 2 boards
Input / 1M	$0.10	$0.30
Output / 1M	$0.15	$0.90
Pricing status	fresh	fresh
Context	262K	131K
Providers	6	2
Weight access	Open weights	Open weights

Decision facts

Qwen3.5-9B is #100; GLM 4.6V is #97 on the same current language board.
Index scores are 41.5 for Qwen3.5-9B and 42.7 for GLM 4.6V. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: Qwen3.5-9B is Estimated; GLM 4.6V is Measured.
Listed output price per 1M tokens is $0.15 for Qwen3.5-9B and $0.90 for GLM 4.6V. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.27 for Qwen3.5-9B versus $1.05 for GLM 4.6V. Qwen3.5-9B costs 73.8% 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 Qwen3.5-9B and 131,072 for GLM 4.6V.
ModelCap currently lists 6 providers for Qwen3.5-9B and 2 for GLM 4.6V.

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.