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Google: Gemini 3.5 Flash (batch)

google/gemini-3-5-flash-batch
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Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.

Modalities
In / out per 1M$0.75 / $4.50
Context1M
ReleasedMay 19, 2026

Providers

7 providers serve this model upstream.

Providers serving this model
ProviderInput /MOutput /MCache read /MLatency P50Throughput P50Uptime
Google Vertexglobal$0.75$4.50$0.0713.07s34 tps100%
Google AI Studio$0.75$4.50$0.070.84s104 tps100%
Google Vertexus$1.65$9.90$0.173.56s128 tps100%
Google Vertexglobal$2.70$16$0.271.34s148 tps100%
Google AI Studio$2.70$16$0.276.33s212 tps100%
Google AI Studio$1.50$9.00$0.151.72s155 tps99.92%
Google Vertexglobal$1.50$9.00$0.151.99s91 tps98.26%

Market-wide measurements, refreshed every 15 minutes. They describe who serves Gemini 3.5 Flash (batch) in general, not how ProjectCOZY routes your requests.

Pricing

List rates per 1M tokens — what Gemini 3.5 Flash (batch) costs pay-as-you-go elsewhere, not what you pay here.

Input
$0.75
per 1M tokens
Output
$4.50
per 1M tokens
Cache read
$0.07
per 1M cached tokens
Included in every pass
Gemini 3.5 Flash (batch) is included in every ProjectCOZY pass at no extra cost — one flat rate, no per-token metering. The rates above are there for comparison.

Performance

Time to first token and output speed across every provider, over the last 3 days.

0.0s10.0s20.0s30.0s40.0s
Oct 11, 12 AMOct 11, 8 AMOct 11, 4 PMOct 12, 12 AMOct 12, 8 AMOct 12, 4 PMOct 13, 12 AMOct 13, 8 AMOct 13, 4 PMOct 14, 12 AMOct 14, 8 AM
Google AI Studio Google Vertex (global) Google Vertex (global) Google AI Studio Google Vertex (global) Google Vertex (us) Google AI Studio
0 tok/s200 tok/s400 tok/s600 tok/s800 tok/s
Oct 11, 12 AMOct 11, 8 AMOct 11, 4 PMOct 12, 12 AMOct 12, 8 AMOct 12, 4 PMOct 13, 12 AMOct 13, 8 AMOct 13, 4 PMOct 14, 12 AMOct 14, 8 AM
Google AI Studio Google Vertex (global) Google Vertex (global) Google AI Studio Google Vertex (global) Google Vertex (us) Google AI Studio

Uptime

100% of requests were served successfully over the last 3 days, across all providers.

Last 3 daysAvailability 99.53%
Oct 11, 2:00 PMNow
Availability over the last 24 hoursAvailability 99.42%
100% 97% 93% 90%
Oct 13, 2:40 PMNow

Apps

Tools that most often run Gemini 3.5 Flash (batch), by tokens this week.

Hello HavenPersonal Agent · 61% of tokens55.4Bosm-gradelab14.7% of tokens13.4BHermes AgentPersonal Agent · 10.3% of tokens9.3BOpenClawPersonal Agent · 8.3% of tokens7.6Bmall-cus-service5.6% of tokens5.1B

Activity

431.2B tokens processed market-wide in the last month.

010.0B20.0B30.0B40.0B
Sep 14Sep 19Sep 24Sep 29Oct 4Oct 9Oct 14
Tokens

FAQ

Which model id do I use for Gemini 3.5 Flash (batch)?
google/gemini-3.5-flash:batch. Send it as the model field from any OpenAI-compatible client, against http://192.168.1.55/v1.
How much context does Gemini 3.5 Flash (batch) hold?
1,048,576 tokens per request, of which up to 65,536 can be the response.
What can it accept and return?
Input: text, image, video, file, audio. Output: text.
What does Gemini 3.5 Flash (batch) cost on a pass?
Nothing beyond the pass itself. Pay-as-you-go elsewhere it lists at $0.75 per 1M input tokens and $4.50 per 1M output tokens.
How current is its knowledge?
Training data runs to Jan 2025. Anything later has to come from your prompt or a tool call.
Who built Gemini 3.5 Flash (batch)?
Google, in the Gemini family.

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