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Google: Gemini 3.5 Flash Lite (batch)

google/gemini-3.5-flash-lite:batch

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Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Modalities

In / Out Price

$0.15 / $1.25per 1M

Context

1M

Released

Jul 21, 2026

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

About Google: Gemini 3.5 Flash Lite (batch)

OpenRouter makes Google: Gemini 3.5 Flash Lite (batch) available through a unified, OpenAI-compatible API using the model ID google/gemini-3.5-flash-lite:batch. It is served by Google Vertex.

Google: Gemini 3.5 Flash Lite (batch) accepts text, images, video, files such as PDFs and audio and returns text. It has a 1,048,576-token context window and a maximum output of 65,536 tokens.

On OpenRouter, Google: Gemini 3.5 Flash Lite (batch) costs $0.15/M input tokens and $1.25/M output tokens, with separate rates for Cache Read at $0.015/M tokens, Image Input at $0.15/M tokens, Input Audio at $0.15/M tokens, Input Audio Cache at $0.015/M tokens and Web Search at $14.00/1K calls. Effective pricing can be lower when prompt caching applies. It was released on July 21, 2026.

More models from Google

  • Gemini 3.7 Flash
  • Gemini 3.6 Flash
  • Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Frequently asked questions

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Gemini 3.5 Flash Lite (batch) costs $0.15/M input tokens and $1.25/M output tokens, with separate rates for Cache Read at $0.015/M tokens, Image Input at $0.15/M tokens, Input Audio at $0.15/M tokens, Input Audio Cache at $0.015/M tokens and Web Search at $14.00/1K calls.

Gemini 3.5 Flash Lite (batch) has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Yes. Gemini 3.5 Flash Lite (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

Gemini 3.5 Flash Lite (batch) accepts text, images, video, files such as PDFs and audio as input and returns text.

Gemini 3.7 Flash, Gemini 3.6 Flash, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and 25 more are other text models from Google.

Gemini 3.5 Flash Lite (batch) was released on July 21, 2026.

$0.15$1.25$0.015$0.015----
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AutoExacto Benchmarks
GPQA DiamondTAU-Bench
Google Vertex (US)
84.5%76.7%
Google Vertex
84.0%75.0%
Google AI Studio
84.2%73.7%
auto-routing
83.5%74.0%

Not enough uptime data to display yet.

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.

Not enough data for apps using this model yet.