head-to-head

MiniMax: MiniMax M3.1 Flash vs NVIDIA: Nemotron 3.5 Super VL (free)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-23.

MiniMax: MiniMax M3.1 Flash NVIDIA: Nemotron 3.5 Super VL (free)
Vendorminimaxnvidia
Quality Score100100
Benchmark Score71.340.1
Input Price$0.15/MFree
Output Price$0.60/MFree
Context Window1,048,5761,000,000
Max Output524,288131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index70.543.7

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3.5 Super VL (free) costs $0 and MiniMax M3.1 Flash costs $0.30, so Nemotron 3.5 Super VL (free) is free for the same work.

Both take in a similar amount of text: 1,048,576 and 1,000,000 tokens, about 1,573 and 1,500 pages.

On our blended benchmark score MiniMax M3.1 Flash leads 71.3 to 40.1.

Across the 20 tasks where they differ, MiniMax M3.1 Flash scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Nemotron 3.5 Super VL (free) on 2 (JSON Extraction, Bulk Data Labeling).

Pick MiniMax M3.1 Flash if you need benchmark performance or the stronger all-round task scores; pick Nemotron 3.5 Super VL (free) if you need lower cost.

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?

TaskMiniMax: MiniMax M3.1 FlashNVIDIA: Nemotron 3.5 Super VL (free)
SQL Generation 142 139
Code Review 145 140
Code Completion 133 132
Code Refactoring 147 143
Bug Fixing 149 144
Unit Test Generation 132 129
Code Documentation 138 135
Regex Writing 126 124
CI/CD Pipelines 128 125
Frontend Component Design 130 127
Data Analysis 134 130
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 137 134
JSON Extraction 131 132
Bulk Data Labeling 129 130
OCR / Document Parsing 134 133
Table Extraction from PDFs 134 133
Long-Document Summarization 149 145
Short-Form Summarization 127 126
Blog Post Writing 130 127

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

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