head-to-head

Nex AGI: Nex-N2.6 vs MoonshotAI: Kimi K3.1 Pro

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

Nex AGI: Nex-N2.6 MoonshotAI: Kimi K3.1 Pro
Vendornex-agimoonshotai
Quality Score100100
Benchmark Score-75.0
Input Price$0.12/M$2.00/M
Output Price$0.40/M$10.00/M
Context Window262,1441,048,576
Max Output235,929943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-76.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nex-N2.6 costs $0.22 and Kimi K3.1 Pro costs $4.50, so Nex-N2.6 is about 20.5 times cheaper for the same work.

Kimi K3.1 Pro reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Nex-N2.6.

Only Kimi K3.1 Pro offers video input.

Across the 20 tasks where they differ, Nex-N2.6 scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Kimi K3.1 Pro on 16 (SQL Generation, Code Review, Code Refactoring and others).

Nex-N2.6 was released in November 2026 and Kimi K3.1 Pro in October 2026.

Pick Nex-N2.6 if you need lower cost; pick Kimi K3.1 Pro if you need long documents, video input 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-N2.6MoonshotAI: Kimi K3.1 Pro
SQL Generation 131 142
Code Review 126 146
Code Completion 129 119
Code Refactoring 127 148
Bug Fixing 130 150
Unit Test Generation 121 133
Code Documentation 126 136
Regex Writing 119 125
CI/CD Pipelines 117 129
Frontend Component Design 122 131
Data Analysis 124 135
CSV / Spreadsheet Cleanup 128 135
ETL Scripting 122 138
JSON Extraction 131 121
Bulk Data Labeling 129 118
OCR / Document Parsing 128 134
Table Extraction from PDFs 128 134
Long-Document Summarization 129 149
Short-Form Summarization 123 117
Blog Post Writing 119 130

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

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