head-to-head

NVIDIA: Nemotron 3 Nano Omni (free) vs MoonshotAI: Kimi K2.6

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

NVIDIA: Nemotron 3 Nano Omni (free) MoonshotAI: Kimi K2.6
Vendornvidiamoonshotai
Quality Score100100
Benchmark Score-76.7
Input PriceFree$0.65/M
Output PriceFree$3.41/M
Context Window256,000262,144
Max Output65,536235,929
Tool Calling✓✓
Structured Output-✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index-73.0
ai_index_agentic-49.9
ai_index_coding-100.0
eqbench-63.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3 Nano Omni (free) costs $0 and Kimi K2.6 costs $1.50, so Nemotron 3 Nano Omni (free) is free for the same work.

Both take in a similar amount of text: 256,000 and 262,144 tokens, about 384 and 393 pages.

Only Nemotron 3 Nano Omni (free) offers audio input and video input; only Kimi K2.6 offers structured output.

Across the 20 tasks where they differ, Kimi K2.6 on 20 (SQL Generation, Code Review, Code Completion and others).

Pick Nemotron 3 Nano Omni (free) if you need lower cost, audio input or video input; pick Kimi K2.6 if you need structured output 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?

TaskNVIDIA: Nemotron 3 Nano Omni (free)MoonshotAI: Kimi K2.6
SQL Generation 123 168
Code Review 122 164
Code Completion 129 131
Code Refactoring 123 160
Bug Fixing 130 174
Unit Test Generation 113 152
Code Documentation 126 140
Regex Writing 120 136
CI/CD Pipelines 113 142
Frontend Component Design 118 145
Data Analysis 120 166
CSV / Spreadsheet Cleanup 116 151
ETL Scripting 118 151
JSON Extraction 120 147
Bulk Data Labeling 126 134
OCR / Document Parsing 120 144
Table Extraction from PDFs 120 144
Long-Document Summarization 129 156
Short-Form Summarization 124 131
Blog Post Writing 119 139

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

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