Model decision surface
Compare AI models
Start with NextCoder 32B and Phi 4, 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
NextCoder 32B vs Phi 4
Live dataset updated 9/14/2026, 10:53:04 PM UTC
Open 1200×630 evidence receipt| Field | NextCoder 32B Microsoft | Phi 4 Microsoft |
|---|---|---|
| ModelCap position | #177 | #178 |
| Index score | 15.0 | 12.8 |
| Evidence | Inheritedfinetune of qwen/qwen-2.5-coder-32b-instruct · finetune (100%) | Measured2 public benchmark observations across 2 boards |
| Input / 1M | Unavailable | $0.07 |
| Output / 1M | Unavailable | $0.14 |
| Pricing status | unavailable | fresh |
| Context | — | 16K |
| Providers | 0 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- NextCoder 32B is #177; Phi 4 is #178 on the same current language board.
- Index scores are 15.0 for NextCoder 32B and 12.8 for Phi 4. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: NextCoder 32B is Inherited; Phi 4 is Measured.
- ModelCap currently lists 0 providers for NextCoder 32B and 1 for Phi 4.
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.