head-to-head

NVIDIA: Nemotron 3 Nano Omni (free) vs Google: Gemma 4 31B

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 31B
Vendornvidiagoogle
Quality Score100100
Benchmark Score-53.7
Input PriceFree$0.20/M
Output PriceFree$0.40/M
Context Window256,000262,144
Max Output65,53616,384
Tool Calling✓✓
Structured Output-✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index-48.4
ai_index_agentic-23.8
ai_index_coding-71.7
eqbench-57.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3 Nano Omni (free) costs $0 and Gemma 4 31B costs $0.30, 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 31B offers structured output.

Across the 20 tasks where they differ, Gemma 4 31B 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 31B 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 31B
SQL Generation 123 156
Code Review 122 152
Code Completion 129 131
Code Refactoring 123 151
Bug Fixing 130 160
Unit Test Generation 113 143
Code Documentation 126 137
Regex Writing 120 131
CI/CD Pipelines 113 135
Frontend Component Design 118 138
Data Analysis 120 152
CSV / Spreadsheet Cleanup 116 145
ETL Scripting 118 143
JSON Extraction 120 143
Bulk Data Labeling 126 133
OCR / Document Parsing 120 140
Table Extraction from PDFs 120 140
Long-Document Summarization 129 149
Short-Form Summarization 124 129
Blog Post Writing 119 133

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

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