head-to-head

StepFun: Step 5 Preview vs OpenAI: GPT-6 Luna

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-09.

StepFun: Step 5 Preview OpenAI: GPT-6 Luna
Vendorstepfunopenai
Quality Score100100
Benchmark Score74.263.8
Input Price$1.00/M$0.10/M
Output Price$2.70/M$0.50/M
Context Window1,000,0001,050,000
Max Output64,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index72.262.9

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6 Luna costs $0.23 and Step 5 Preview costs $1.68, so GPT-6 Luna is about 7.4 times cheaper for the same work.

Both take in a similar amount of text: 1,000,000 and 1,050,000 tokens, about 1,500 and 1,575 pages.

Only Step 5 Preview offers video input.

On our blended benchmark score Step 5 Preview leads 74.2 to 63.8.

Across the 19 tasks where they differ, Step 5 Preview scores higher on 15 (SQL Generation, Code Review, Code Refactoring and others), GPT-6 Luna on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Step 5 Preview was released in October 2026 and GPT-6 Luna in September 2026.

Pick Step 5 Preview if you need video input, benchmark performance or the stronger all-round task scores; pick GPT-6 Luna if you need lower cost.

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?

TaskStepFun: Step 5 PreviewOpenAI: GPT-6 Luna
SQL Generation 142 141
Code Review 145 144
Code Completion 120 133
Code Refactoring 147 146
Bug Fixing 149 148
Unit Test Generation 132 131
Code Documentation 137 137
Regex Writing 126 126
CI/CD Pipelines 128 127
Frontend Component Design 130 129
Data Analysis 134 133
ETL Scripting 138 136
JSON Extraction 123 131
Bulk Data Labeling 120 129
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 149 148
Short-Form Summarization 118 127
Blog Post Writing 130 129

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

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