head-to-head

OpenAI: GPT-6 Sol (batch) vs PrismML: Ternary Bonsai 2 27B

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

OpenAI: GPT-6 Sol (batch) PrismML: Ternary Bonsai 2 27B
Vendoropenaiprism-ml
Quality Score100100
Benchmark Score81.4-
Input Price$1.00/M$0.07/M
Output Price$5.00/M$0.50/M
Context Window1,050,000262,144
Max Output128,00032,768
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index78.6-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Ternary Bonsai 2 27B costs $0.20 and GPT-6 Sol (batch) costs $2.25, so Ternary Bonsai 2 27B is about 11.2 times cheaper for the same work.

GPT-6 Sol (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Ternary Bonsai 2 27B.

Across the 20 tasks where they differ, GPT-6 Sol (batch) scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Ternary Bonsai 2 27B on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Pick GPT-6 Sol (batch) if you need long documents or the stronger all-round task scores; pick Ternary Bonsai 2 27B 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?

TaskOpenAI: GPT-6 Sol (batch)PrismML: Ternary Bonsai 2 27B
SQL Generation 142 131
Code Review 146 126
Code Completion 120 129
Code Refactoring 148 127
Bug Fixing 150 130
Unit Test Generation 133 121
Code Documentation 137 126
Regex Writing 126 119
CI/CD Pipelines 129 117
Frontend Component Design 131 122
Data Analysis 135 124
CSV / Spreadsheet Cleanup 136 128
ETL Scripting 139 122
JSON Extraction 122 131
Bulk Data Labeling 120 129
OCR / Document Parsing 134 128
Table Extraction from PDFs 134 128
Long-Document Summarization 150 129
Short-Form Summarization 118 123
Blog Post Writing 130 119

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

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