head-to-head

OpenAI: GPT-6 Luna vs PrismML: Ternary Bonsai 2 27B

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-13.

OpenAI: GPT-6 Luna PrismML: Ternary Bonsai 2 27B
Vendoropenaiprism-ml
Quality Score100100
Benchmark Score63.8-
Input Price$0.10/M$0.07/M
Output Price$0.50/M$0.50/M
Context Window1,050,000262,144
Max Output128,00032,768
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index62.9-

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 Luna costs $0.23, so Ternary Bonsai 2 27B is slightly cheaper for the same work.

GPT-6 Luna 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 18 tasks where they differ, GPT-6 Luna scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-6 Luna 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 LunaPrismML: Ternary Bonsai 2 27B
SQL Generation 141 131
Code Review 144 126
Code Completion 133 129
Code Refactoring 146 127
Bug Fixing 148 130
Unit Test Generation 131 121
Code Documentation 137 126
Regex Writing 126 119
CI/CD Pipelines 127 117
Frontend Component Design 129 122
Data Analysis 133 124
CSV / Spreadsheet Cleanup 136 128
ETL Scripting 136 122
OCR / Document Parsing 134 128
Table Extraction from PDFs 134 128
Long-Document Summarization 148 129
Short-Form Summarization 127 123
Blog Post Writing 129 119

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

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