Model decision surface
Compare AI models
Start with Ling 3.0 Flash Fin and Qwen3 235B A22B, 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 Qwen3 235B A22B
Live dataset updated 9/15/2026, 9:19:37 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash Fin InclusionAI | Qwen3 235B A22B Qwen |
|---|---|---|
| ModelCap position | #79 | #82 |
| Index score | 51.0 | 50.6 |
| Evidence | Inheritedfinetune of inclusionai/ling-3.0-flash · finetune (100%) | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.06 | $0.455 |
| Output / 1M | $0.18 | $1.82 |
| Pricing status | fresh | fresh |
| Context | 262K | 131K |
| Providers | 1 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- Ling 3.0 Flash Fin is #79; Qwen3 235B A22B is #82 on the same current language board.
- Index scores are 51.0 for Ling 3.0 Flash Fin and 50.6 for Qwen3 235B A22B. 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; Qwen3 235B A22B is Measured.
- Listed output price per 1M tokens is $0.18 for Ling 3.0 Flash Fin and $1.82 for Qwen3 235B A22B. 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 $1.82 for Qwen3 235B A22B. Ling 3.0 Flash Fin costs 88.5% 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 131,072 for Qwen3 235B A22B.
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.