Anthropic: Claude Sonnet 5.5 vs PrismML: Ternary Bonsai 2 27B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-29.
| Anthropic: Claude Sonnet 5.5 | PrismML: Ternary Bonsai 2 27B | |
|---|---|---|
| Vendor | anthropic | prism-ml |
| Quality Score | 100 | 100 |
| Benchmark Score | 97.0 | - |
| Input Price | $2.00/M | $0.07/M |
| Output Price | $10.00/M | $0.50/M |
| Context Window | 1,000,000 | 262,144 |
| Max Output | 128,000 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 92.4 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ternary Bonsai 2 27B costs $0.20 and Claude Sonnet 5.5 costs $4.50, so Ternary Bonsai 2 27B is about 22.5 times cheaper for the same work.
Claude Sonnet 5.5 reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 393 pages for Ternary Bonsai 2 27B.
Across the 20 tasks where they differ, Claude Sonnet 5.5 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 Claude Sonnet 5.5 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?
| Task | Anthropic: Claude Sonnet 5.5 | PrismML: Ternary Bonsai 2 27B |
|---|---|---|
| SQL Generation | 143 | 131 |
| Code Review | 149 | 126 |
| Code Completion | 119 | 129 |
| Code Refactoring | 150 | 127 |
| Bug Fixing | 153 | 130 |
| Unit Test Generation | 135 | 121 |
| Code Documentation | 137 | 126 |
| Regex Writing | 126 | 119 |
| CI/CD Pipelines | 131 | 117 |
| Frontend Component Design | 133 | 122 |
| Data Analysis | 137 | 124 |
| CSV / Spreadsheet Cleanup | 136 | 128 |
| ETL Scripting | 140 | 122 |
| JSON Extraction | 121 | 131 |
| Bulk Data Labeling | 118 | 129 |
| OCR / Document Parsing | 135 | 128 |
| Table Extraction from PDFs | 135 | 128 |
| Long-Document Summarization | 151 | 129 |
| Short-Form Summarization | 118 | 123 |
| Blog Post Writing | 131 | 119 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →