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Google: Gemini 3.5 Flash

google/gemini-3.5-flash

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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. It is highly optimized for coding proficiency and parallel agentic execution loops, supporting text, image, video, audio, and PDF inputs.

Defaults to medium thinking effort for faster and more cost-efficient responses, with full support for thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs.

Modalities

In / Out Price

$1.50 / $9per 1M

Context

1.0M

Released

May 19, 2026

Knowledge Cutoff

Jan 2025

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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), Floor (cheapest), 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.

Benchmark score summary for Google: Gemini 3.5 Flash (Artificial Analysis and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGemini 3.5 Flash (minimal) GPQA Diamond82.8%
Artificial AnalysisGemini 3.5 Flash (minimal) HLE24.1%
Artificial AnalysisGemini 3.5 Flash (minimal) IFBench47.3%
Artificial AnalysisGemini 3.5 Flash (minimal) τ²-Bench Telecom58.8%
Artificial AnalysisGemini 3.5 Flash (minimal) AA-LCR61.3%
Artificial AnalysisGemini 3.5 Flash (minimal) CritPt1.4%
Artificial AnalysisGemini 3.5 Flash (minimal) Terminal-Bench Hard46.2%
Artificial AnalysisGemini 3.5 Flash (minimal) AA-Omniscience Accuracy43.0%
Artificial AnalysisGemini 3.5 Flash (minimal) AA-Omniscience Non-Hallucination Rate25.7%
Artificial AnalysisGemini 3.5 Flash (medium) GPQA Diamond92.1%
Artificial AnalysisGemini 3.5 Flash (medium) HLE41.3%
Artificial AnalysisGemini 3.5 Flash (medium) IFBench74.6%
Artificial AnalysisGemini 3.5 Flash (medium) τ²-Bench Telecom95.6%
Artificial AnalysisGemini 3.5 Flash (medium) AA-LCR74.3%
Artificial AnalysisGemini 3.5 Flash (medium) CritPt10.9%
Artificial AnalysisGemini 3.5 Flash (medium) Terminal-Bench Hard39.4%
Artificial AnalysisGemini 3.5 Flash (medium) AA-Omniscience Accuracy51.0%
Artificial AnalysisGemini 3.5 Flash (medium) AA-Omniscience Non-Hallucination Rate38.2%
Artificial AnalysisGemini 3.5 Flash (high) Intelligence Index32.6
Artificial AnalysisGemini 3.5 Flash (high) Coding Index70.1
Artificial AnalysisGemini 3.5 Flash (high) Agentic Index26.0
Artificial AnalysisGemini 3.5 Flash (high) GPQA Diamond92.2%
Artificial AnalysisGemini 3.5 Flash (high) HLE42.7%
Artificial AnalysisGemini 3.5 Flash (high) IFBench76.3%
Artificial AnalysisGemini 3.5 Flash (high) τ²-Bench Telecom95.3%
Artificial AnalysisGemini 3.5 Flash (high) AA-LCR73.3%
Artificial AnalysisGemini 3.5 Flash (high) GDPval-AA34.2%
Artificial AnalysisGemini 3.5 Flash (high) CritPt13.1%
Artificial AnalysisGemini 3.5 Flash (high) SciCode53.9%
Artificial AnalysisGemini 3.5 Flash (high) Terminal-Bench Hard40.9%
Artificial AnalysisGemini 3.5 Flash (high) AA-Omniscience Accuracy51.4%
Artificial AnalysisGemini 3.5 Flash (high) AA-Omniscience Non-Hallucination Rate37.8%
Design ArenaGemini 3.5 Flash Agents Arena Agenticgamedev Elo1180
Design ArenaGemini 3.5 Flash Agents Arena Agentichtmlslides Elo1162
Design ArenaGemini 3.5 Flash Agents Arena Agenticslides Elo1244
Design ArenaGemini 3.5 Flash Agents Arena Agenticslides(Html) Elo1162
Design ArenaGemini 3.5 Flash Agents Arena Agenticslides(Python-Pptx) Elo1242
Design ArenaGemini 3.5 Flash Agents Arena Androidnative Elo1197
Design ArenaGemini 3.5 Flash Agents Arena Full Stack Elo1208
Design ArenaGemini 3.5 Flash Agents Arena Godotgamedev Elo1108
Design ArenaGemini 3.5 Flash Agents Arena Htmlslides Elo1145
Design ArenaGemini 3.5 Flash Agents Arena Mobile Apps Elo1201
Design ArenaGemini 3.5 Flash Agents Arena Pptxslides Elo1244
Design ArenaGemini 3.5 Flash Agents Arena Python-Pptxslides Elo1247
Design ArenaGemini 3.5 Flash Agents Arena Python-Pptxslides Elo1178
Design ArenaGemini 3.5 Flash Agents Arena Webapps Elo1219
Design ArenaGemini 3.5 Flash Models Arena 3D Elo1271
Design ArenaGemini 3.5 Flash Models Arena Asciiart Elo1273
Design ArenaGemini 3.5 Flash Models Arena Code Categories Elo1278
Design ArenaGemini 3.5 Flash Models Arena Data Visualization Elo1247
Design ArenaGemini 3.5 Flash Models Arena Game Development Elo1287
Design ArenaGemini 3.5 Flash Models Arena SVG Elo1278
Design ArenaGemini 3.5 Flash Models Arena UI Component Elo1287
Design ArenaGemini 3.5 Flash Models Arena Website Elo1276

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.

Explore more models

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Frequently asked questions

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution loops, supporting text, image, video, audio, and PDF inputs.

Gemini 3.5 Flash costs $1.50/M input tokens and $9.00/M output tokens, with separate rates for Cache Read at $0.15/M tokens, Cache Write at $0.08333/M tokens, Image Input at $1.50/M tokens, Input Audio at $3.00/M tokens, Input Audio Cache at $0.30/M tokens, and Web Search at $14.00/1K calls.

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

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

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

Gemini 3.5 Flash is served by 2 providers on OpenRouter: Google Vertex and Google AI Studio. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

Gemini 3.5 Flash was released on May 19, 2026. Its knowledge cutoff is January 1, 2025.