head-to-head

OpenAI: GPT-6 Luna vs DeepSeek: DeepSeek V4.1 Flash (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

OpenAI: GPT-6 Luna DeepSeek: DeepSeek V4.1 Flash (batch)
Vendoropenaideepseek
Quality Score100100
Benchmark Score63.866.3
Input Price$0.10/M$0.11/M
Output Price$0.50/M$0.34/M
Context Window1,050,0001,048,576
Max Output128,000131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index62.965.1

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, DeepSeek V4.1 Flash (batch) costs $0.20 and GPT-6 Luna costs $0.23, so DeepSeek V4.1 Flash (batch) is slightly cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.

On our blended benchmark score DeepSeek V4.1 Flash (batch) leads 66.3 to 63.8.

Across the 19 tasks where they differ, DeepSeek V4.1 Flash (batch) on 19 (SQL Generation, Code Review, Code Completion and others).

Pick DeepSeek V4.1 Flash (batch) if you need lower cost, 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?

TaskOpenAI: GPT-6 LunaDeepSeek: DeepSeek V4.1 Flash (batch)
SQL Generation 141 141
Code Review 144 144
Code Completion 133 133
Code Refactoring 146 146
Bug Fixing 148 148
Unit Test Generation 131 131
Code Documentation 137 137
Regex Writing 126 126
CI/CD Pipelines 127 127
Frontend Component Design 129 129
Data Analysis 133 133
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 136 137
Bulk Data Labeling 129 129
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 148 148
Short-Form Summarization 127 127
Blog Post Writing 129 129

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

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