Model decision surface
Compare AI models
Start with Ling 3.0 Flash Fin and o4 Mini, 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 Fin vs o4 Mini
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash Fin InclusionAI | o4 Mini OpenAI |
|---|---|---|
| ModelCap position | #84 | #87 |
| Index score | 46.1 | 45.5 |
| Evidence | Inheritedfinetune of inclusionai/ling-3.0-flash · finetune (100%) | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.06 | $1.10 |
| Output / 1M | $0.18 | $4.40 |
| Pricing status | fresh | fresh |
| Context | 262K | 200K |
| Providers | 1 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Ling 3.0 Flash Fin is #84; o4 Mini is #87 on the same current language board.
- Index scores are 46.1 for Ling 3.0 Flash Fin and 45.5 for o4 Mini. 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 Fin is Inherited; o4 Mini is Measured.
- Listed output price per 1M tokens is $0.18 for Ling 3.0 Flash Fin and $4.40 for o4 Mini. 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 Fin versus $4.40 for o4 Mini. Ling 3.0 Flash Fin costs 95.2% 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 Fin and 200,000 for o4 Mini.
- Weight access differs: Ling 3.0 Flash Fin is open; o4 Mini 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.
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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.