Model decision surface
Compare AI models
Start with Nex-N2.5-Pro and Qwen3.7 Plus, 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
Nex-N2.5-Pro vs Qwen3.7 Plus
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | Nex-N2.5-Pro Nex AGI | Qwen3.7 Plus Qwen |
|---|---|---|
| ModelCap position | #18 | #28 |
| Index score | 76.7 | 69.1 |
| Evidence | Estimatedglobal-corpus-prior over 180 held-out anchors (11%); launch card against 8 resolved peers on 8 rows (89%); exceeds every named peer on 1 of 8 rows; optimism haircut 0 from cross-lab-probe; shrunk 2.7 toward the measured corpus | Measured4 public benchmark observations across 4 boards |
| Input / 1M | Free | $0.32 |
| Output / 1M | Free | $1.28 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 1 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Nex-N2.5-Pro is #18; Qwen3.7 Plus is #28 on the same current language board.
- Index scores are 76.7 for Nex-N2.5-Pro and 69.1 for Qwen3.7 Plus. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: Nex-N2.5-Pro is Estimated; Qwen3.7 Plus is Measured.
- Listed output price per 1M tokens is $0 for Nex-N2.5-Pro and $1.28 for Qwen3.7 Plus. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0 for Nex-N2.5-Pro versus $1.28 for Qwen3.7 Plus. Nex-N2.5-Pro costs 100.0% 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 Nex-N2.5-Pro and 1,000,000 for Qwen3.7 Plus.
- Weight access differs: Nex-N2.5-Pro is open; Qwen3.7 Plus 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.