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Start with Qwen3 Coder Next and Qwen3 VL 30B A3B 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 Coder Next vs Qwen3 VL 30B A3B Instruct

Live dataset updated 10/6/2026, 5:34:26 PM UTC

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Factual comparison of Qwen3 Coder Next and Qwen3 VL 30B A3B Instruct
Field	Qwen3 Coder Next Qwen	Qwen3 VL 30B A3B Instruct Qwen
ModelCap position	#116	#165
Index score	54.0	42.4
Evidence	Measured1 public benchmark observation across 1 board	Estimated4 reported rows against measured corpus ladders (50%); publisher-corpus-prior over 232 held-out anchors (50%); shrunk 11.3 up toward the measured corpus
Input / 1M	$0.12	$0.15
Output / 1M	$0.80	$0.60
Pricing status	fresh	fresh
Context	262K	262K
Providers	4	4
Weight access	Open weights	Open weights

Decision facts

Qwen3 Coder Next is #116; Qwen3 VL 30B A3B Instruct is #165 on the same current language board.
Index scores are 54.0 for Qwen3 Coder Next and 42.4 for Qwen3 VL 30B A3B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: Qwen3 Coder Next is Measured; Qwen3 VL 30B A3B Instruct is Estimated.
Listed output price per 1M tokens is $0.80 for Qwen3 Coder Next and $0.60 for Qwen3 VL 30B A3B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.64 for Qwen3 Coder Next versus $0.60 for Qwen3 VL 30B A3B Instruct. Qwen3 VL 30B A3B Instruct costs 6.2% 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 Coder Next and 262,144 for Qwen3 VL 30B A3B 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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