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ModelCap

Model decision surface

Compare AI models

Start with Ling 3.0 Flash VL and o3, 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 VL vs o3

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

Open 1200×630 evidence receipt
Factual comparison of Ling 3.0 Flash VL and o3
Field
o3

OpenAI

ModelCap position#59#49
Index score57.661.3
EvidenceMeasured1 public benchmark observation across 1 boardMeasured3 public benchmark observations across 3 boards
Input / 1M$0.06$2.00
Output / 1M$0.18$8.00
Pricing statusfreshfresh
Context131K200K
Providers11
Weight accessOpen weightsAPI only

Decision facts

  • Ling 3.0 Flash VL is #59; o3 is #49 on the same current language board.
  • Index scores are 57.6 for Ling 3.0 Flash VL and 61.3 for o3. 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 $0.18 for Ling 3.0 Flash VL and $8.00 for o3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.21 for Ling 3.0 Flash VL versus $8.00 for o3. Ling 3.0 Flash VL costs 97.4% 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 131,072 tokens for Ling 3.0 Flash VL and 200,000 for o3.
  • Weight access differs: Ling 3.0 Flash VL is open; o3 is none.

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.