head-to-head

Nex AGI: Nex-N2.6 vs OpenAI: GPT-6 Luna (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.

Nex AGI: Nex-N2.6 OpenAI: GPT-6 Luna (batch)
Vendornex-agiopenai
Quality Score100100
Benchmark Score-42.4
Input Price$0.12/M$0.05/M
Output Price$0.40/M$0.25/M
Context Window262,1441,050,000
Max Output235,929128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-46.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and Nex-N2.6 costs $0.22, so GPT-6 Luna (batch) is about 2.0 times cheaper for the same work.

GPT-6 Luna (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Nex-N2.6.

Across the 19 tasks where they differ, GPT-6 Luna (batch) on 19 (SQL Generation, Code Review, Code Completion and others).

Nex-N2.6 was released in November 2026 and GPT-6 Luna (batch) in September 2026.

Pick GPT-6 Luna (batch) if you need lower cost, long documents or the stronger all-round task scores.

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?

TaskNex AGI: Nex-N2.6OpenAI: GPT-6 Luna (batch)
SQL Generation 131 139
Code Review 126 140
Code Completion 129 132
Code Refactoring 127 143
Bug Fixing 130 144
Unit Test Generation 121 129
Code Documentation 126 136
Regex Writing 119 124
CI/CD Pipelines 117 125
Frontend Component Design 122 127
Data Analysis 124 130
CSV / Spreadsheet Cleanup 128 135
ETL Scripting 122 134
Bulk Data Labeling 129 129
OCR / Document Parsing 128 133
Table Extraction from PDFs 128 133
Long-Document Summarization 129 145
Short-Form Summarization 123 126
Blog Post Writing 119 127

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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