OpenAI: GPT Luna Latest vs Nex AGI: Nex-N2.5-Pro
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.
| OpenAI: GPT Luna Latest | Nex AGI: Nex-N2.5-Pro | |
|---|---|---|
| Vendor | ~openai | nex-agi |
| Quality Score | 100 | 100 |
| Input Price | $0.10/M | $0.07/M |
| Output Price | $0.50/M | $0.25/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 235,929 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Nex-N2.5-Pro costs $0.14 and GPT Luna Latest costs $0.23, so Nex-N2.5-Pro is about 1.6 times cheaper for the same work.
GPT Luna Latest reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Nex-N2.5-Pro.
Across the 15 tasks where they differ, GPT Luna Latest scores higher on 14 (SQL Generation, Code Review, Code Completion and others), Nex-N2.5-Pro on 1 (Bulk Data Labeling).
Pick GPT Luna Latest if you need long documents or the stronger all-round task scores; pick Nex-N2.5-Pro if you need lower cost.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
Who wins by task?
| Task | OpenAI: GPT Luna Latest | Nex AGI: Nex-N2.5-Pro |
|---|---|---|
| SQL Generation | 133 | 131 |
| Code Review | 132 | 126 |
| Code Completion | 131 | 129 |
| Code Refactoring | 136 | 127 |
| Bug Fixing | 136 | 130 |
| Unit Test Generation | 124 | 121 |
| Code Documentation | 131 | 126 |
| CI/CD Pipelines | 120 | 117 |
| CSV / Spreadsheet Cleanup | 133 | 128 |
| ETL Scripting | 128 | 122 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 131 | 128 |
| Table Extraction from PDFs | 131 | 128 |
| Long-Document Summarization | 137 | 129 |
| Blog Post Writing | 121 | 119 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →