Model decision surface
Compare AI models
Start with Ling 3.0 Flash and Step 3.7 Flash, 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 Step 3.7 Flash
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash InclusionAI | Step 3.7 Flash StepFun |
|---|---|---|
| ModelCap position | #82 | #81 |
| Index score | 47.3 | 48.2 |
| Evidence | Estimated5 reported rows against measured corpus ladders (56%); publisher-corpus-prior over 182 held-out anchors (44%); shrunk 1.6 toward the measured corpus | Estimated3 reported rows against measured corpus ladders (14%); global-corpus-prior over 182 held-out anchors (19%); measured predecessor stepfun/step-3.5-flash less the succession penalty (67%); shrunk 1.3 up toward the measured corpus |
| Input / 1M | $0.021 | $0.20 |
| Output / 1M | $0.063 | $1.15 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 2 | 3 |
| Weight access | Open weights | Open weights |
Decision facts
- Ling 3.0 Flash is #82; Step 3.7 Flash is #81 on the same current language board.
- Index scores are 47.3 for Ling 3.0 Flash and 48.2 for Step 3.7 Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Estimated evidence.
- Listed output price per 1M tokens is $0.06 for Ling 3.0 Flash and $1.15 for Step 3.7 Flash. 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 $0.97 for Step 3.7 Flash. Ling 3.0 Flash costs 92.5% 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 and 262,144 for Step 3.7 Flash.
- ModelCap currently lists 2 providers for Ling 3.0 Flash and 3 for Step 3.7 Flash.
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.