Model decision surface
Compare AI models
Start with Nex-N2-Pro and Qwen3.8 Max, 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-Pro vs Qwen3.8 Max
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Nex-N2-Pro Nex AGI | Qwen3.8 Max Qwen |
|---|---|---|
| ModelCap position | #28 | #5 |
| Index score | 61.1 | 80.5 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.25 | $2.00 |
| Output / 1M | $1.00 | $6.00 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 2 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Nex-N2-Pro is #28; Qwen3.8 Max is #5 on the same current language board.
- Index scores are 61.1 for Nex-N2-Pro and 80.5 for Qwen3.8 Max.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $1.00 for Nex-N2-Pro and $6.00 for Qwen3.8 Max.
- Published context is 262,144 tokens for Nex-N2-Pro and 1,000,000 for Qwen3.8 Max.
- Weight access differs: Nex-N2-Pro is open; Qwen3.8 Max is none.
- ModelCap currently lists 2 providers for Nex-N2-Pro and 1 for Qwen3.8 Max.
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.