head-to-head

Google: Gemini 3.8 Flash vs Google: Gemini 3.7 Flash (batch)

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

Google: Gemini 3.8 Flash Google: Gemini 3.7 Flash (batch)
Vendorgooglegoogle
Quality Score100100
Benchmark Score67.8-
Input Price$0.82/M$0.38/M
Output Price$4.12/M$1.88/M
Context Window1,048,5761,048,576
Max Output65,53665,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓✓
Benchmark Scores
ai_index67.5-

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 3.8 Flash costs $1.86, so Gemini 3.7 Flash (batch) is about 2.2 times 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 3.8 Flash scores higher on 18 (SQL Generation, Code Review, Code Completion and others), Gemini 3.7 Flash (batch) on 2 (JSON Extraction, Bulk Data Labeling).

Gemini 3.8 Flash was released in September 2026 and Gemini 3.7 Flash (batch) in August 2026.

Pick Gemini 3.8 Flash if you need the stronger all-round task scores; pick Gemini 3.7 Flash (batch) 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?

TaskGoogle: Gemini 3.8 FlashGoogle: Gemini 3.7 Flash (batch)
SQL Generation 141 133
Code Review 144 132
Code Completion 132 131
Code Refactoring 146 136
Bug Fixing 148 136
Unit Test Generation 132 124
Code Documentation 137 131
Regex Writing 125 119
CI/CD Pipelines 128 120
Frontend Component Design 130 122
Data Analysis 134 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 137 128
JSON Extraction 131 131
Bulk Data Labeling 128 129
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 148 137
Short-Form Summarization 126 123
Blog Post Writing 129 121

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

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