OpenAI: GPT-6.1 Terra Pro (batch) vs Cohere: Command A+
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-02.
| OpenAI: GPT-6.1 Terra Pro (batch) | Cohere: Command A+ | |
|---|---|---|
| Vendor | openai | cohere |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 32.5 |
| Input Price | $0.50/M | $0.30/M |
| Output Price | $2.50/M | $1.50/M |
| Context Window | 1,050,000 | 192,000 |
| Max Output | 128,000 | 64,000 |
| 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, Command A+ costs $0.68 and GPT-6.1 Terra Pro (batch) costs $1.12, so Command A+ is about 1.7 times cheaper for the same work.
GPT-6.1 Terra Pro (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 288 pages for Command A+.
Across the 20 tasks where they differ, GPT-6.1 Terra Pro (batch) scores higher on 4 (Code Completion, Code Refactoring, Code Documentation and others), Command A+ on 16 (SQL Generation, Code Review, Bug Fixing and others).
GPT-6.1 Terra Pro (batch) was released in October 2026 and Command A+ in September 2026.
Pick GPT-6.1 Terra Pro (batch) if you need long documents; pick Command A+ if you need lower cost or the stronger all-round task scores.
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 | OpenAI: GPT-6.1 Terra Pro (batch) | Cohere: Command A+ |
|---|---|---|
| SQL Generation | 133 | 144 |
| Code Review | 132 | 137 |
| Code Completion | 131 | 128 |
| Code Refactoring | 136 | 134 |
| Bug Fixing | 136 | 143 |
| Unit Test Generation | 124 | 131 |
| Code Documentation | 131 | 128 |
| Regex Writing | 119 | 126 |
| CI/CD Pipelines | 120 | 125 |
| Frontend Component Design | 122 | 131 |
| Data Analysis | 124 | 140 |
| CSV / Spreadsheet Cleanup | 133 | 134 |
| ETL Scripting | 128 | 130 |
| JSON Extraction | 131 | 139 |
| Bulk Data Labeling | 129 | 131 |
| OCR / Document Parsing | 131 | 133 |
| Table Extraction from PDFs | 131 | 133 |
| Long-Document Summarization | 137 | 134 |
| Short-Form Summarization | 123 | 126 |
| Blog Post Writing | 121 | 124 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →