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ModelCap

Model decision surface

Compare AI models

Start with Ling 3.0 Flash and Qwen3 Coder 480B A35B, 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

Ling 3.0 Flash vs Qwen3 Coder 480B A35B

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Ling 3.0 Flash and Qwen3 Coder 480B A35B
Field
Ling 3.0 Flash

InclusionAI

ModelCap position#82#85
Index score47.346.0
EvidenceEstimated5 reported rows against measured corpus ladders (56%); publisher-corpus-prior over 182 held-out anchors (44%); shrunk 1.6 toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1M$0.021$0.30
Output / 1M$0.063$1.00
Pricing statusfreshfresh
Context262K262K
Providers25
Weight accessOpen weightsOpen weights

Decision facts

  • Ling 3.0 Flash is #82; Qwen3 Coder 480B A35B is #85 on the same current language board.
  • Index scores are 47.3 for Ling 3.0 Flash and 46.0 for Qwen3 Coder 480B A35B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Ling 3.0 Flash is Estimated; Qwen3 Coder 480B A35B is Measured.
  • Listed output price per 1M tokens is $0.06 for Ling 3.0 Flash and $1.00 for Qwen3 Coder 480B A35B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.07 for Ling 3.0 Flash versus $1.10 for Qwen3 Coder 480B A35B. Ling 3.0 Flash costs 93.3% 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 Ling 3.0 Flash and 262,144 for Qwen3 Coder 480B A35B.
  • ModelCap currently lists 2 providers for Ling 3.0 Flash and 5 for Qwen3 Coder 480B A35B.

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.