Model decision surface
Compare AI models
Start with Ling 3.0 Flash 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
Ling 3.0 Flash vs Ling 3.0 Flash VL
Live dataset updated 9/12/2026, 1:09:54 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash InclusionAI | Ling 3.0 Flash VL InclusionAI |
|---|---|---|
| ModelCap position | #75 | #56 |
| Index score | 52.5 | 58.1 |
| Evidence | Estimated4 reported rows against measured corpus ladders (50%); publisher-corpus-prior over 188 held-out anchors (50%); shrunk 3.8 toward the measured corpus | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.021 | $0.06 |
| Output / 1M | $0.063 | $0.18 |
| Pricing status | fresh | fresh |
| Context | 262K | 131K |
| Providers | 2 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- Ling 3.0 Flash is #75; Ling 3.0 Flash VL is #56 on the same current language board.
- Index scores are 52.5 for Ling 3.0 Flash and 58.1 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.
- Evidence differs: Ling 3.0 Flash is Estimated; Ling 3.0 Flash VL is Measured.
- Listed output price per 1M tokens is $0.06 for Ling 3.0 Flash 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 $0.07 for Ling 3.0 Flash versus $0.21 for Ling 3.0 Flash VL. Ling 3.0 Flash costs 65.0% 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 131,072 for Ling 3.0 Flash VL.
- ModelCap currently lists 2 providers for Ling 3.0 Flash 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.
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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.