Model decision surface

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Start with Qwen3.8 27B and Qwen3 VL 235B A22B Instruct, 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

Qwen3.8 27B vs Qwen3 VL 235B A22B Instruct

Live dataset updated 10/1/2026, 9:09:05 PM UTC

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Factual comparison of Qwen3.8 27B and Qwen3 VL 235B A22B Instruct
Field	Qwen3.8 27B Qwen	Qwen3 VL 235B A22B Instruct Qwen
ModelCap position	#39	#78
Index score	68.9	59.5
Evidence	Measured5 public benchmark observations across 5 boards	Measured2 public benchmark observations across 2 boards
Input / 1M	$0.42	$0.21
Output / 1M	$3.00	$1.90
Pricing status	fresh	fresh
Context	1M	262K
Providers	17	5
Weight access	Open weights	Open weights

Decision facts

Qwen3.8 27B is #39; Qwen3 VL 235B A22B Instruct is #78 on the same current language board.
Index scores are 68.9 for Qwen3.8 27B and 59.5 for Qwen3 VL 235B A22B Instruct. 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 $3.00 for Qwen3.8 27B and $1.90 for Qwen3 VL 235B A22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.34 for Qwen3.8 27B versus $1.37 for Qwen3 VL 235B A22B Instruct. Qwen3 VL 235B A22B Instruct costs 41.5% 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 1,000,000 tokens for Qwen3.8 27B and 262,144 for Qwen3 VL 235B A22B Instruct.
ModelCap currently lists 17 providers for Qwen3.8 27B and 5 for Qwen3 VL 235B A22B Instruct.

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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