Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Qwen3 Coder Next 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.

Current public data

Qwen3 Coder Next vs Qwen3 VL 235B A22B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 Coder Next and Qwen3 VL 235B A22B Instruct
Field
ModelCap position#110#78
Index score53.359.5
EvidenceMeasured1 public benchmark observation across 1 boardMeasured2 public benchmark observations across 2 boards
Input / 1M$0.12$0.21
Output / 1M$0.80$1.90
Pricing statusfreshfresh
Context262K262K
Providers45
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 Coder Next is #110; Qwen3 VL 235B A22B Instruct is #78 on the same current language board.
  • Index scores are 53.3 for Qwen3 Coder Next 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 $0.80 for Qwen3 Coder Next 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 $0.64 for Qwen3 Coder Next versus $1.37 for Qwen3 VL 235B A22B Instruct. Qwen3 Coder Next costs 53.3% 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 235B A22B Instruct.
  • ModelCap currently lists 4 providers for Qwen3 Coder Next 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.

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.