Cohere: Command A+ vs PrismML: Ternary Bonsai 2 27B
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| Cohere: Command A+ | PrismML: Ternary Bonsai 2 27B | |
|---|---|---|
| Vendor | cohere | prism-ml |
| Quality Score | 100 | 100 |
| Benchmark Score | 32.5 | - |
| Input Price | $0.30/M | $0.07/M |
| Output Price | $1.50/M | $0.50/M |
| Context Window | 192,000 | 262,144 |
| Max Output | 64,000 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 37.1 | - |
| ai_index_agentic | 15.1 | - |
| ai_index_coding | 45.9 | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ternary Bonsai 2 27B costs $0.20 and Command A+ costs $0.68, so Ternary Bonsai 2 27B is about 3.4 times cheaper for the same work.
Both take in a similar amount of text: 192,000 and 262,144 tokens, about 288 and 393 pages.
Across the 20 tasks where they differ, Command A+ scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others), Ternary Bonsai 2 27B on 1 (Code Completion).
Pick Command A+ if you need 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 | Cohere: Command A+ | PrismML: Ternary Bonsai 2 27B |
|---|---|---|
| SQL Generation | 144 | 131 |
| Code Review | 137 | 126 |
| Code Completion | 128 | 129 |
| Code Refactoring | 134 | 127 |
| Bug Fixing | 143 | 130 |
| Unit Test Generation | 131 | 121 |
| Code Documentation | 128 | 126 |
| Regex Writing | 126 | 119 |
| CI/CD Pipelines | 125 | 117 |
| Frontend Component Design | 131 | 122 |
| Data Analysis | 140 | 124 |
| CSV / Spreadsheet Cleanup | 134 | 128 |
| ETL Scripting | 130 | 122 |
| JSON Extraction | 139 | 131 |
| Bulk Data Labeling | 131 | 129 |
| OCR / Document Parsing | 133 | 128 |
| Table Extraction from PDFs | 133 | 128 |
| Long-Document Summarization | 134 | 129 |
| Short-Form Summarization | 126 | 123 |
| Blog Post Writing | 124 | 119 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →