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 2026-09-28.

Google: Gemini 3.7 Flash (batch) Google: Gemini 3.5 Flash Lite
Vendorgooglegoogle
Quality Score100100
Benchmark Score65.534.2
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_index64.436.6

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.

On our blended benchmark score Gemini 3.7 Flash (batch) leads 65.5 to 34.2.

Across the 20 tasks where they differ, Gemini 3.7 Flash (batch) scores higher on 20 (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, benchmark performance 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?

TaskGoogle: Gemini 3.7 Flash (batch)Google: Gemini 3.5 Flash Lite
SQL Generation 141 138
Code Review 144 139
Code Completion 132 132
Code Refactoring 146 141
Bug Fixing 148 143
Unit Test Generation 131 128
Code Documentation 137 134
Regex Writing 126 123
CI/CD Pipelines 127 124
Frontend Component Design 129 126
Data Analysis 133 129
CSV / Spreadsheet Cleanup 136 135
ETL Scripting 137 133
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 134 132
Table Extraction from PDFs 134 132
Long-Document Summarization 148 143
Short-Form Summarization 126 125
Blog Post Writing 129 126

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

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