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 2026-10-13.

Cohere: Command A+ OpenAI: GPT-6 Luna (batch)
Vendorcohereopenai
Quality Score100100
Benchmark Score17.463.8
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_index21.762.9

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+.

On our blended benchmark score GPT-6 Luna (batch) leads 63.8 to 17.4.

Across the 20 tasks where they differ, GPT-6 Luna (batch) on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-6 Luna (batch) if you need lower cost, long documents, benchmark performance 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?

TaskCohere: Command A+OpenAI: GPT-6 Luna (batch)
SQL Generation 132 141
Code Review 127 144
Code Completion 127 133
Code Refactoring 127 146
Bug Fixing 131 148
Unit Test Generation 122 131
Code Documentation 125 137
Regex Writing 121 126
CI/CD Pipelines 118 127
Frontend Component Design 124 129
Data Analysis 127 133
CSV / Spreadsheet Cleanup 126 136
ETL Scripting 122 136
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 127 134
Table Extraction from PDFs 127 134
Long-Document Summarization 128 148
Short-Form Summarization 124 127
Blog Post Writing 120 129

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

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