head-to-head

DeepSeek: DeepSeek V4.1 Flash 1017 vs StepFun: Step 5 Preview

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.

DeepSeek: DeepSeek V4.1 Flash 1017 StepFun: Step 5 Preview
Vendordeepseekstepfun
Quality Score100100
Benchmark Score-73.3
Input Price$0.15/M$1.00/M
Output Price$0.60/M$2.70/M
Context Window1,048,5761,048,576
Max Output393,21664,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-72.2

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, DeepSeek V4.1 Flash 1017 costs $0.30 and Step 5 Preview costs $1.68, so DeepSeek V4.1 Flash 1017 is about 5.6 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Step 5 Preview offers video input.

Across the 20 tasks where they differ, DeepSeek V4.1 Flash 1017 scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Step 5 Preview on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick DeepSeek V4.1 Flash 1017 if you need lower cost; pick Step 5 Preview if you need video input 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?

TaskDeepSeek: DeepSeek V4.1 Flash 1017StepFun: Step 5 Preview
SQL Generation 133 142
Code Review 132 145
Code Completion 131 120
Code Refactoring 136 147
Bug Fixing 136 149
Unit Test Generation 124 132
Code Documentation 131 137
Regex Writing 119 126
CI/CD Pipelines 120 128
Frontend Component Design 122 130
Data Analysis 124 134
CSV / Spreadsheet Cleanup 133 136
ETL Scripting 128 138
JSON Extraction 131 123
Bulk Data Labeling 129 120
OCR / Document Parsing 131 134
Table Extraction from PDFs 131 134
Long-Document Summarization 137 149
Short-Form Summarization 123 118
Blog Post Writing 121 130

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

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