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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
1.0M
Released
Jul 21, 2026
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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 Floor (cheapest).

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 and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Google: Gemini 3.5 Flash Lite (batch) (Artificial Analysis and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGemini 3.5 Flash-Lite Intelligence Index22.2
Artificial AnalysisGemini 3.5 Flash-Lite Coding Index49.3
Artificial AnalysisGemini 3.5 Flash-Lite Agentic Index14.3
Artificial AnalysisGemini 3.5 Flash-Lite GPQA Diamond83.8%
Artificial AnalysisGemini 3.5 Flash-Lite HLE18.8%
Artificial AnalysisGemini 3.5 Flash-Lite AA-LCR76.0%
Artificial AnalysisGemini 3.5 Flash-Lite τ-Bench Banking17.5%
Artificial AnalysisGemini 3.5 Flash-Lite GDPval-AA24.7%
Artificial AnalysisGemini 3.5 Flash-Lite CritPt0.0%
Artificial AnalysisGemini 3.5 Flash-Lite SciCode41.3%
Artificial AnalysisGemini 3.5 Flash-Lite Terminal-Bench 4.01.0%
Artificial AnalysisGemini 3.5 Flash-Lite Terminal-Bench 2.153.6%
Artificial AnalysisGemini 3.5 Flash-Lite AA-Omniscience Accuracy29.5%
Artificial AnalysisGemini 3.5 Flash-Lite AA-Omniscience Non-Hallucination Rate65.6%
Vals AIGemini 3.5 Flash Lite Code Migration6.1%
Vals AIGemini 3.5 Flash Lite CorpFin v260.7%
Vals AIGemini 3.5 Flash Lite CyberBench v1.159.1%
Vals AIGemini 3.5 Flash Lite EMB43.2%
Vals AIGemini 3.5 Flash Lite Finance Agent (v2)47.4%
Vals AIGemini 3.5 Flash Lite GPQA Diamond83.8%
Vals AIGemini 3.5 Flash Lite Harvey's Legal Agent Benchmark v10.0%
Vals AIGemini 3.5 Flash Lite IOI v126.2%
Vals AIGemini 3.5 Flash Lite LiveCodeBench79.0%
Vals AIGemini 3.5 Flash Lite LegalBench84.1%
Vals AIGemini 3.5 Flash Lite Legal Research Bench13.9%
Vals AIGemini 3.5 Flash Lite MedCode43.5%
Vals AIGemini 3.5 Flash Lite MedScribe70.9%
Vals AIGemini 3.5 Flash Lite MMLU Pro85.8%
Vals AIGemini 3.5 Flash Lite MMMU Pro83.6%
Vals AIGemini 3.5 Flash Lite MortgageTax68.7%
Vals AIGemini 3.5 Flash Lite ProgramBench0.0%
Vals AIGemini 3.5 Flash Lite ProofBench v113.0%
Vals AIGemini 3.5 Flash Lite SAGE47.3%
Vals AIGemini 3.5 Flash Lite SWE-bench75.0%
Vals AIGemini 3.5 Flash Lite Tax Agent Bench7.3%
Vals AIGemini 3.5 Flash Lite TaxEval v272.6%
Vals AIGemini 3.5 Flash Lite Terminal-Bench 2.150.2%
Vals AIGemini 3.5 Flash Lite Vals Index36.7%
Vals AIGemini 3.5 Flash Lite Vibe Code Bench v1.137.2%

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.

API

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.

Not currently available through EU in-region routing. In-region routing docs

Explore more models

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AutoExacto benchmarks
GPQA DiamondTAU-Benchauto-routing85.4%79.3%Google Vertex84.7%76.7%Google Vertex82.8%76.0%Google AI Studio85.2%73.3%Google Vertex82.7%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 provider routing options.

Not enough data for apps using this model yet.

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 4 Argon, Nano Banana 2.1, Gemini 3.8 Flash and 26 more are other text models from Google.

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