head-to-head

OpenAI: GPT-5.6 Luna vs StepFun: Step 3.7 Flash

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

OpenAI: GPT-5.6 Luna StepFun: Step 3.7 Flash
Vendoropenaistepfun
Quality Score100100
Benchmark Score89.450.8
Input Price$0.20/M$0.20/M
Output Price$1.20/M$1.15/M
Context Window1,050,000262,144
Max Output128,000230,400
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index84.549.9
ai_index_agentic75.235.5
ai_index_coding100.065.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Step 3.7 Flash costs $0.49 and GPT-5.6 Luna costs $0.50, so Step 3.7 Flash is slightly cheaper for the same work.

GPT-5.6 Luna reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Step 3.7 Flash.

Only Step 3.7 Flash offers video input.

On our blended benchmark score GPT-5.6 Luna leads 89.4 to 50.8.

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 Step 3.7 Flash in May 2026.

Pick GPT-5.6 Luna if you need long documents, benchmark performance or the stronger all-round task scores; pick Step 3.7 Flash if you need lower cost 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 LunaStepFun: Step 3.7 Flash
SQL Generation 171 153
Code Review 166 146
Code Completion 133 130
Code Refactoring 163 144
Bug Fixing 179 155
Unit Test Generation 154 139
Code Documentation 143 133
Regex Writing 136 129
CI/CD Pipelines 144 131
Frontend Component Design 146 136
Data Analysis 170 150
CSV / Spreadsheet Cleanup 154 141
ETL Scripting 154 137
JSON Extraction 149 142
Bulk Data Labeling 135 133
OCR / Document Parsing 146 138
Table Extraction from PDFs 146 138
Long-Document Summarization 159 142
Short-Form Summarization 132 128
Blog Post Writing 140 129

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

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