head-to-head

OpenAI: GPT-5.6 Luna vs Google: Gemini Flash Latest

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

OpenAI: GPT-5.6 Luna Google: Gemini Flash Latest
Vendoropenai~google
Quality Score100100
Benchmark Score89.4-
Input Price$0.20/M$0.75/M
Output Price$1.20/M$3.75/M
Context Window1,050,0001,048,576
Max Output128,00065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index84.5-
ai_index_agentic75.2-
ai_index_coding100.0-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Luna costs $0.50 and Gemini Flash Latest costs $1.69, so GPT-5.6 Luna is about 3.4 times 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.

Only Gemini Flash Latest offers audio input and video input.

Across the 20 tasks where they differ, GPT-5.6 Luna scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

GPT-5.6 Luna was released in July 2026 and Gemini Flash Latest in April 2026.

Pick GPT-5.6 Luna if you need lower cost or the stronger all-round task scores; pick Gemini Flash Latest if you need audio input or video input.

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-5.6 LunaGoogle: Gemini Flash Latest
SQL Generation 171 133
Code Review 166 132
Code Completion 133 131
Code Refactoring 163 136
Bug Fixing 179 136
Unit Test Generation 154 124
Code Documentation 143 131
Regex Writing 136 119
CI/CD Pipelines 144 120
Frontend Component Design 146 122
Data Analysis 170 124
CSV / Spreadsheet Cleanup 154 133
ETL Scripting 154 128
JSON Extraction 149 131
Bulk Data Labeling 135 128
OCR / Document Parsing 146 131
Table Extraction from PDFs 146 131
Long-Document Summarization 159 137
Short-Form Summarization 132 123
Blog Post Writing 140 121

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

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