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ModelCap

Model decision surface

Compare AI models

Start with Claude Haiku 4.5 and Ling 3.0 Flash VL, 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

Claude Haiku 4.5 vs Ling 3.0 Flash VL

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Claude Haiku 4.5 and Ling 3.0 Flash VL
Field
ModelCap position#62#59
Index score56.057.6
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$1.00$0.06
Output / 1M$5.00$0.18
Pricing statusfreshfresh
Context200K131K
Providers41
Weight accessAPI onlyOpen weights

Decision facts

  • Claude Haiku 4.5 is #62; Ling 3.0 Flash VL is #59 on the same current language board.
  • Index scores are 56.0 for Claude Haiku 4.5 and 57.6 for Ling 3.0 Flash VL. 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 $5.00 for Claude Haiku 4.5 and $0.18 for Ling 3.0 Flash VL. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $4.50 for Claude Haiku 4.5 versus $0.21 for Ling 3.0 Flash VL. Ling 3.0 Flash VL costs 95.3% 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 200,000 tokens for Claude Haiku 4.5 and 131,072 for Ling 3.0 Flash VL.
  • Weight access differs: Claude Haiku 4.5 is none; Ling 3.0 Flash VL is open.
  • ModelCap currently lists 4 providers for Claude Haiku 4.5 and 1 for Ling 3.0 Flash VL.

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.