google

Google: Gemini 3.6 Flash (batch)

Gemini 3.6 Flash from Google is a robust AI model capable of processing extensive context with up to 1048576 tokens and generating responses up to 65536 tokens long. It supports multiple input modalities including text, images, videos, files, and audio, making it versatile for various applications. The model also supports reasoning and tools integration, enhancing its problem-solving capabilities. For those requiring a high-capacity model with broad input handling and robust reasoning abilities at a moderate cost, Gemini 3.6 Flash is well worth considering. Its price of $0.75 per million input tokens and $3.75 per million output tokens makes it accessible for projects that demand substantial processing power, though its benchmark coverage is limited to three independent sources, providing a solid but not exhaustive assessment of its performance.

Quality Score
100/100
price + capability + benchmarks
Input Price
$0.75
per 1M tokens
Output Price
$3.75
per 1M tokens
Context Window
1,048,576
tokens

Benchmark results

Independent, published benchmarks. Blended score 84.4 across 3 benchmarks, last refreshed 2026-08-13. How scoring works →

BenchmarkMeasuresScore
AI Index broad capability composite 85.1
AI Index Coding software engineering tasks 100.0
AI Index Agentic multi-step tool-using tasks 66.8
Model ID
google/gemini-3.6-flash:batch
Vendor
google
Released
July 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 $0.75/M input and $3.75/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.03
Classify 1,000 customer emails 500k in / 50k out $0.56
A month of a busy support chatbot 5M in / 2M out $11.25

Strong choice for

Category rankings

Where Google: Gemini 3.6 Flash (batch) places across the 21 categories it ranks in. How we rank →

#CategoryScore
#1 Image CaptioningVision · of 25 ranked 121
#2 TranscriptionVoice · of 25 ranked 123
#4 JSON ExtractionData · of 25 ranked 148
#4 TTS ReplacementVoice · of 25 ranked 115
#4 Video Auto-TaggingVideo · of 25 ranked 123
#5 Customer SupportBusiness · of 25 ranked 134
#6 Audio SummarizationVoice · of 25 ranked 158
#7 Short-Form SummarizationWriting · of 25 ranked 131
#7 Email DraftingWriting · of 25 ranked 127
#7 Language LearningEducation · of 25 ranked 127
#7 Chat CompanionPersonal · of 25 ranked 131
#7 Dataset AnnotationResearch · of 25 ranked 144
#8 Video SummarizationVideo · of 25 ranked 158
#8 Trivia & General KnowledgePersonal · of 25 ranked 121
#14 Bulk Data LabelingData · of 25 ranked 134
#18 Meeting NotesBusiness · of 25 ranked 152
#19 Sales / Cold EmailBusiness · of 25 ranked 123
#19 Job Application DraftingBusiness · of 25 ranked 123
#19 Journaling HelperPersonal · of 25 ranked 123
#19 Recipe GenerationPersonal · of 25 ranked 123
#23 Code CompletionCode · of 25 ranked 132

Similar models

Quick answers

How much does Google: Gemini 3.6 Flash (batch) cost?
$0.75 per million input tokens and $3.75 per million output tokens.
What is Google: Gemini 3.6 Flash (batch)'s context window?
1,048,576 tokens, roughly 1,572 pages of text in a single request.
Does Google: Gemini 3.6 Flash (batch) support tool calling?
It supports tool calling, structured output, a reasoning mode.
Can Google: Gemini 3.6 Flash (batch) process images?
Yes, it accepts image input.