Model decision surface
Compare AI models
Start with Nex-N2.5-Pro and GPT-6 Sol, 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 GPT-6 Sol
Live dataset updated 9/22/2026, 10:37:09 PM UTC
Open 1200×630 evidence receipt| Field | Nex-N2.5-Pro Nex AGI | GPT-6 Sol OpenAI |
|---|---|---|
| ModelCap position | #22 | #2 |
| Index score | 79.7 | 89.3 |
| Evidence | Estimatedglobal-corpus-prior over 209 held-out anchors (8%); launch card against 8 resolved peers on 8 rows (92%); exceeds every named peer on 1 of 8 rows; optimism haircut 0 from cross-lab-probe; shrunk 2 toward the measured corpus | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.075 | $2.00 |
| Output / 1M | $0.25 | $10.00 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 1 | 2 |
| Weight access | Open weights | API only |
Decision facts
- Nex-N2.5-Pro is #22; GPT-6 Sol is #2 on the same current language board.
- Index scores are 79.7 for Nex-N2.5-Pro and 89.3 for GPT-6 Sol. 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; GPT-6 Sol is Measured.
- Listed output price per 1M tokens is $0.25 for Nex-N2.5-Pro and $10.00 for GPT-6 Sol. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.28 for Nex-N2.5-Pro versus $9.00 for GPT-6 Sol. Nex-N2.5-Pro costs 96.9% 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 1,050,000 for GPT-6 Sol.
- Weight access differs: Nex-N2.5-Pro is open; GPT-6 Sol is none.
- ModelCap currently lists 1 providers for Nex-N2.5-Pro and 2 for GPT-6 Sol.
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.