head-to-head

OpenAI: GPT-6.1 Sol vs OpenAI: GPT-6 Sol

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, both cost $4.50 at current list prices.

Both read up to 1,050,000 tokens at once, roughly 1,575 pages of text.

On our blended benchmark score GPT-6.1 Sol leads 89.2 to 81.2.

Across the 18 tasks where they differ, GPT-6.1 Sol scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-6.1 Sol if you need benchmark performance 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.

Task	OpenAI: GPT-6.1 Sol	OpenAI: GPT-6 Sol
SQL Generation	143	142
Code Review	148	146
Code Completion	119	119
Code Refactoring	149	148
Bug Fixing	152	150
Unit Test Generation	134	133
Code Documentation	137	136
Regex Writing	126	125
CI/CD Pipelines	130	129
Frontend Component Design	132	131
Data Analysis	136	135
CSV / Spreadsheet Cleanup	136	135
ETL Scripting	140	139
OCR / Document Parsing	135	134
Table Extraction from PDFs	135	134
Long-Document Summarization	150	149
Short-Form Summarization	117	117
Blog Post Writing	131	130

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