head-to-head

NVIDIA: Nemotron 3.5 Super VL vs OpenAI: GPT-6.1 Sol Pro (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

NVIDIA: Nemotron 3.5 Super VL OpenAI: GPT-6.1 Sol Pro (batch)
Vendornvidiaopenai
Quality Score100100
Benchmark Score40.1-
Input Price$0.10/M$1.00/M
Output Price$0.40/M$5.00/M
Context Window1,048,5761,050,000
Max Output235,929128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index43.7-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Nemotron 3.5 Super VL costs $0.20 and GPT-6.1 Sol Pro (batch) costs $2.25, so Nemotron 3.5 Super VL is about 11.2 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Only Nemotron 3.5 Super VL offers video input.

Across the 20 tasks where they differ, Nemotron 3.5 Super VL scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Nemotron 3.5 Super VL was released in October 2026 and GPT-6.1 Sol Pro (batch) in September 2026.

Pick Nemotron 3.5 Super VL if you need lower cost, 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?

TaskNVIDIA: Nemotron 3.5 Super VLOpenAI: GPT-6.1 Sol Pro (batch)
SQL Generation 139 133
Code Review 140 132
Code Completion 132 118
Code Refactoring 143 136
Bug Fixing 144 136
Unit Test Generation 129 124
Code Documentation 135 130
Regex Writing 124 118
CI/CD Pipelines 125 120
Frontend Component Design 127 122
Data Analysis 130 124
CSV / Spreadsheet Cleanup 135 133
ETL Scripting 134 128
JSON Extraction 131 122
Bulk Data Labeling 129 120
OCR / Document Parsing 133 131
Table Extraction from PDFs 133 131
Long-Document Summarization 144 137
Short-Form Summarization 126 114
Blog Post Writing 127 121

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

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