head-to-head

DeepSeek: DeepSeek V4 Flash Latest vs Google: Gemini 3.5 Flash Lite (batch)

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

DeepSeek: DeepSeek V4 Flash Latest Google: Gemini 3.5 Flash Lite (batch)
Vendor~deepseekgoogle
Quality Score99100
Input Price$0.04/M$0.15/M
Output Price$0.30/M$1.25/M
Context Window1,048,5761,048,576
Max Output943,71865,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision-✓
Audio-✓

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, DeepSeek V4 Flash Latest costs $0.12 and Gemini 3.5 Flash Lite (batch) costs $0.46, so DeepSeek V4 Flash Latest is about 3.9 times cheaper for the same work.

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

Only Gemini 3.5 Flash Lite (batch) offers image input, audio input and video input.

Across the 15 tasks where they differ, DeepSeek V4 Flash Latest scores higher on 1 (Bulk Data Labeling), Gemini 3.5 Flash Lite (batch) on 14 (SQL Generation, Code Review, Code Refactoring and others).

DeepSeek V4 Flash Latest was released in August 2026 and Gemini 3.5 Flash Lite (batch) in July 2026.

Pick DeepSeek V4 Flash Latest if you need lower cost; pick Gemini 3.5 Flash Lite (batch) if you need image input, audio input, 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 Flash LatestGoogle: Gemini 3.5 Flash Lite (batch)
SQL Generation 133 133
Code Review 131 132
Code Refactoring 135 136
Bug Fixing 135 136
Unit Test Generation 123 124
CI/CD Pipelines 119 120
Frontend Component Design 91 122
Data Analysis 123 124
CSV / Spreadsheet Cleanup 133 133
ETL Scripting 127 128
Bulk Data Labeling 129 129
OCR / Document Parsing 85 131
Table Extraction from PDFs 85 131
Long-Document Summarization 137 137
Blog Post Writing 121 121

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

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