Model decision surface
Compare AI models
Start with granite 4.2 30b and Qwen3 32B, 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
granite 4.2 30b vs Qwen3 32B
Live dataset updated 9/3/2026, 2:54:47 AM UTC
Open 1200×630 evidence receipt| Field | granite 4.2 30b IBM Granite | Qwen3 32B Qwen |
|---|---|---|
| ModelCap position | #86 | #88 |
| Index score | 30.4 | 28.9 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | Unavailable | $0.08 |
| Output / 1M | Unavailable | $0.28 |
| Pricing status | unavailable | fresh |
| Context | 131K | 131K |
| Providers | 0 | 3 |
| Weight access | Open weights | Open weights |
Decision facts
- granite 4.2 30b is #86; Qwen3 32B is #88 on the same current language board.
- Index scores are 30.4 for granite 4.2 30b and 28.9 for Qwen3 32B.
- Both positions use Measured evidence.
- Published context is 131,072 tokens for granite 4.2 30b and 131,072 for Qwen3 32B.
- ModelCap currently lists 0 providers for granite 4.2 30b and 3 for Qwen3 32B.
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.