head-to-head

Cohere: Command A+ vs OpenAI: GPT-6 Luna (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Cohere: Command A+ OpenAI: GPT-6 Luna (batch)
Vendorcohereopenai
Quality Score100100
Benchmark Score32.5-
Input Price$0.30/M$0.05/M
Output Price$1.50/M$0.25/M
Context Window192,0001,050,000
Max Output64,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index37.1-
ai_index_agentic15.1-
ai_index_coding45.9-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna (batch) costs $0.11 and Command A+ costs $0.68, so GPT-6 Luna (batch) is about 6.0 times cheaper for the same work.

GPT-6 Luna (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, Command A+ scores higher on 16 (SQL Generation, Code Review, Bug Fixing and others), GPT-6 Luna (batch) on 4 (Code Completion, Code Refactoring, Code Documentation and others).

Pick Command A+ if you need the stronger all-round task scores; pick GPT-6 Luna (batch) if you need lower cost or long documents.

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?

TaskCohere: Command A+OpenAI: GPT-6 Luna (batch)
SQL Generation 144 134
Code Review 137 132
Code Completion 128 131
Code Refactoring 134 136
Bug Fixing 143 136
Unit Test Generation 131 124
Code Documentation 128 131
Regex Writing 126 119
CI/CD Pipelines 125 120
Frontend Component Design 131 122
Data Analysis 140 124
CSV / Spreadsheet Cleanup 134 134
ETL Scripting 130 128
JSON Extraction 139 131
Bulk Data Labeling 131 129
OCR / Document Parsing 133 131
Table Extraction from PDFs 133 131
Long-Document Summarization 134 138
Short-Form Summarization 126 123
Blog Post Writing 124 122

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

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