Model decision surface
Compare AI models
Start with Nex-N2.5-Pro and GPT-5.6 Luna, 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-5.6 Luna
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | Nex-N2.5-Pro Nex AGI | GPT-5.6 Luna OpenAI |
|---|---|---|
| ModelCap position | #18 | #26 |
| Index score | 76.7 | 71.3 |
| 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 | Measured6 public benchmark observations across 6 boards |
| Input / 1M | Free | $0.20 |
| Output / 1M | Free | $1.20 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 1 | 3 |
| Weight access | Open weights | API only |
Decision facts
- Nex-N2.5-Pro is #18; GPT-5.6 Luna is #26 on the same current language board.
- Index scores are 76.7 for Nex-N2.5-Pro and 71.3 for GPT-5.6 Luna. 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-5.6 Luna is Measured.
- Listed output price per 1M tokens is $0 for Nex-N2.5-Pro and $1.20 for GPT-5.6 Luna. 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 $1.00 for GPT-5.6 Luna. 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 1,050,000 for GPT-5.6 Luna.
- Weight access differs: Nex-N2.5-Pro is open; GPT-5.6 Luna is none.
- ModelCap currently lists 1 providers for Nex-N2.5-Pro and 3 for GPT-5.6 Luna.
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.