Model decision surface
Compare AI models
Start with Ling 3.0 Flash Fin and Mistral Medium 3.5, 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 Mistral Medium 3.5
Live dataset updated 9/17/2026, 7:03:55 AM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash Fin InclusionAI | Mistral Medium 3.5 Mistral AI |
|---|---|---|
| ModelCap position | #65 | #63 |
| Index score | 55.5 | 56.3 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.06 | $1.50 |
| Output / 1M | $0.18 | $7.50 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 1 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Ling 3.0 Flash Fin is #65; Mistral Medium 3.5 is #63 on the same current language board.
- Index scores are 55.5 for Ling 3.0 Flash Fin and 56.3 for Mistral Medium 3.5. 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 Fin and $7.50 for Mistral Medium 3.5. 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 $6.75 for Mistral Medium 3.5. Ling 3.0 Flash Fin costs 96.9% 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 262,144 for Mistral Medium 3.5.
- Weight access differs: Ling 3.0 Flash Fin is open; Mistral Medium 3.5 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.