head-to-head

NVIDIA: Nemotron 3 Nano Omni (free) vs Google: Gemma 4 26B A4B

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

NVIDIA: Nemotron 3 Nano Omni (free) Google: Gemma 4 26B A4B
Vendornvidiagoogle
Quality Score100100
Benchmark Score-48.4
Input PriceFree$0.07/M
Output PriceFree$0.23/M
Context Window256,000262,144
Max Output65,536235,929
Tool Calling✓✓
Structured Output-✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index-42.4
ai_index_agentic-18.1
ai_index_coding-64.9
eqbench-56.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3 Nano Omni (free) costs $0 and Gemma 4 26B A4B costs $0.12, 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; only Gemma 4 26B A4B offers structured output.

Across the 20 tasks where they differ, Gemma 4 26B A4B on 20 (SQL Generation, Code Review, Code Completion and others).

Pick Nemotron 3 Nano Omni (free) if you need lower cost or audio input; pick Gemma 4 26B A4B 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)Google: Gemma 4 26B A4B
SQL Generation 123 153
Code Review 122 150
Code Completion 129 131
Code Refactoring 123 148
Bug Fixing 130 156
Unit Test Generation 113 140
Code Documentation 126 136
Regex Writing 120 130
CI/CD Pipelines 113 133
Frontend Component Design 118 136
Data Analysis 120 148
CSV / Spreadsheet Cleanup 116 143
ETL Scripting 118 141
JSON Extraction 120 142
Bulk Data Labeling 126 133
OCR / Document Parsing 120 138
Table Extraction from PDFs 120 138
Long-Document Summarization 129 147
Short-Form Summarization 124 129
Blog Post Writing 119 131

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

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