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Google: Gemini 3.7 Flash (batch)

Google's Gemini 3.7 Flash (batch) is an advanced AI model capable of processing text, images, videos, files, and audio inputs, with a substantial context length of up to 1MB. It supports both reasoning and tool use, making it versatile for complex tasks. This model excels in coding but falls short in agentic tasks compared to other models. For those looking for robust multimodal capabilities at a cost-effective price point-Gemini 3.7 Flash offers input pricing of $0.1875 per thousand tokens and output at $0.9375, with a blended benchmark score of 89.7 across three independent tests. While its performance is solid, the lack of structured output support and lower agentic scores mean it might not be ideal for all use cases.

Quality Score
100/100
price + capability + benchmarks
Input Price
$0.19
per 1M tokens
Output Price
$0.94
per 1M tokens
Context Window
1,048,576
tokens

Benchmark results

Independent, published benchmarks. Blended score 89.7 across 3 benchmarks, last refreshed 2026-08-14. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 92.4
AI Index Coding software engineering tasks 100.0
AI Index Agentic multi-step tool-using tasks 74.4
Model ID
google/gemini-3.7-flash:batch
Vendor
google
Released
August 2026
Tokenizer
Gemini
Input Modalities
text, image, video, file, audio
Output Modalities
text
Max Output
65,536 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
✓ supported
Vision
✓ accepts images
Audio
✓ accepts audio
Moderated
no

What it costs in practice

Computed from the current $0.19/M input and $0.94/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out under $0.01
Classify 1,000 customer emails 500k in / 50k out $0.14
A month of a busy support chatbot 5M in / 2M out $2.81

Strong choice for

Category rankings

Where Google: Gemini 3.7 Flash (batch) places across the 44 categories it ranks in. How we rank →

#CategoryScore
#1 Short-Form SummarizationWriting · of 25 ranked 132
#1 Email DraftingWriting · of 25 ranked 128
#1 Language LearningEducation · of 25 ranked 128
#1 Chat CompanionPersonal · of 25 ranked 132
#1 Trivia & General KnowledgePersonal · of 25 ranked 122
#2 Image CaptioningVision · of 25 ranked 121
#2 TranscriptionVoice · of 25 ranked 123
#2 TTS ReplacementVoice · of 25 ranked 115
#2 Video Auto-TaggingVideo · of 25 ranked 123
#3 Bulk Data LabelingData · of 25 ranked 135
#3 Customer SupportBusiness · of 25 ranked 135
#3 Sales / Cold EmailBusiness · of 25 ranked 124
#3 Job Application DraftingBusiness · of 25 ranked 124
#3 Journaling HelperPersonal · of 25 ranked 124
#3 Recipe GenerationPersonal · of 25 ranked 124
#3 Dataset AnnotationResearch · of 25 ranked 145
#4 JSON ExtractionData · of 25 ranked 149
#5 Audio SummarizationVoice · of 25 ranked 160
#7 Video SummarizationVideo · of 25 ranked 160
#8 Code CompletionCode · of 25 ranked 133
#9 Resume WritingBusiness · of 25 ranked 118
#12 Regex WritingCode · of 25 ranked 137
#12 Language TranslationWriting · of 25 ranked 137
#12 Tutoring for KidsPersonal · of 25 ranked 137
#13 SOP / Process DocsBusiness · of 25 ranked 138
#14 Code DocumentationCode · of 25 ranked 144
#16 Meeting NotesBusiness · of 25 ranked 153
#17 Marketing CopyWriting · of 25 ranked 131
#17 Standardized Test PrepEducation · of 25 ranked 131
#18 CSV / Spreadsheet CleanupData · of 25 ranked 154
#18 Real-Time ChatLatency · of 25 ranked 117
#21 Diagram ExtractionVision · of 25 ranked 150
#21 Function / Tool CallingAgents · of 25 ranked 153
#22 Frontend Component DesignCode · of 25 ranked 147
#22 Blog Post WritingWriting · of 25 ranked 141
#22 Screenshot DebuggingVision · of 25 ranked 143
#22 Chart & Graph ReadingVision · of 25 ranked 153
#22 Trip PlanningPersonal · of 25 ranked 141
#23 SQL GenerationCode · of 25 ranked 172
#23 Character RoleplayPersonal · of 25 ranked 151
#24 Browser AutomationAgents · of 25 ranked 171
#25 OCR / Document ParsingData · of 25 ranked 147
#25 Table Extraction from PDFsData · of 25 ranked 147
#25 Transcript CleanupWriting · of 25 ranked 141

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Quick answers

How much does Google: Gemini 3.7 Flash (batch) cost?
$0.19 per million input tokens and $0.94 per million output tokens.
What is Google: Gemini 3.7 Flash (batch)'s context window?
1,048,576 tokens, roughly 1,572 pages of text in a single request.
Does Google: Gemini 3.7 Flash (batch) support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can Google: Gemini 3.7 Flash (batch) process images?
Yes, it accepts image input.