head-to-head

Google: Gemini 3.7 Flash (batch) vs Google: Gemini 3.5 Flash Lite

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.

Google: Gemini 3.7 Flash (batch) Google: Gemini 3.5 Flash Lite
Vendorgooglegoogle
Quality Score100100
Benchmark Score-13.8
Input Price$0.38/M$0.30/M
Output Price$1.88/M$2.50/M
Context Window1,048,5761,048,576
Max Output65,53665,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index-19.2

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.7 Flash (batch) costs $0.84 and Gemini 3.5 Flash Lite costs $0.93, so Gemini 3.7 Flash (batch) is slightly cheaper for the same work.

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

Across the 20 tasks where they differ, Gemini 3.7 Flash (batch) scores higher on 2 (JSON Extraction, Bulk Data Labeling), Gemini 3.5 Flash Lite on 18 (SQL Generation, Code Review, Code Completion and others).

Gemini 3.7 Flash (batch) was released in August 2026 and Gemini 3.5 Flash Lite in July 2026.

Pick Gemini 3.7 Flash (batch) if you need lower cost; pick Gemini 3.5 Flash Lite if you need 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?

TaskGoogle: Gemini 3.7 Flash (batch)Google: Gemini 3.5 Flash Lite
SQL Generation 133 136
Code Review 132 135
Code Completion 131 131
Code Refactoring 136 139
Bug Fixing 136 139
Unit Test Generation 124 126
Code Documentation 131 133
Regex Writing 119 121
CI/CD Pipelines 120 122
Frontend Component Design 122 124
Data Analysis 124 126
CSV / Spreadsheet Cleanup 133 134
ETL Scripting 128 130
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 131 132
Table Extraction from PDFs 131 132
Long-Document Summarization 137 140
Short-Form Summarization 123 124
Blog Post Writing 121 124

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

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