head-to-head

DeepSeek: DeepSeek V4.1 Flash 1017 vs PrismML: Ternary Bonsai 2 27B

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

DeepSeek: DeepSeek V4.1 Flash 1017 PrismML: Ternary Bonsai 2 27B
Vendordeepseekprism-ml
Quality Score100100
Input Price$0.15/M$0.07/M
Output Price$0.60/M$0.50/M
Context Window1,048,576262,144
Max Output393,21632,768
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Ternary Bonsai 2 27B costs $0.20 and DeepSeek V4.1 Flash 1017 costs $0.30, so Ternary Bonsai 2 27B is about 1.5 times cheaper for the same work.

DeepSeek V4.1 Flash 1017 reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Ternary Bonsai 2 27B.

Across the 17 tasks where they differ, DeepSeek V4.1 Flash 1017 scores higher on 14 (SQL Generation, Code Review, Code Completion and others), Ternary Bonsai 2 27B on 3 (Regex Writing, JSON Extraction, Short-Form Summarization).

DeepSeek V4.1 Flash 1017 was released in October 2026 and Ternary Bonsai 2 27B in September 2026.

Pick DeepSeek V4.1 Flash 1017 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?

TaskDeepSeek: DeepSeek V4.1 Flash 1017PrismML: Ternary Bonsai 2 27B
SQL Generation 133 131
Code Review 132 126
Code Completion 131 129
Code Refactoring 136 127
Bug Fixing 136 130
Unit Test Generation 124 121
Code Documentation 131 126
Regex Writing 119 119
CI/CD Pipelines 120 117
CSV / Spreadsheet Cleanup 133 128
ETL Scripting 128 122
JSON Extraction 131 131
OCR / Document Parsing 131 128
Table Extraction from PDFs 131 128
Long-Document Summarization 137 129
Short-Form Summarization 123 123
Blog Post Writing 121 119

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

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