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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
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 (Artificial Analysis, Design Arena and Vals AI)
SourceBenchmarkScore
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) τ-Bench Banking32.2%
Artificial AnalysisGemini 3.5 Flash (High) GDPval-AA35.1%
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) Terminal-Bench 4.06.6%
Artificial AnalysisGemini 3.5 Flash (High) Terminal-Bench 2.178.7%
Artificial AnalysisGemini 3.5 Flash (High) AA-Omniscience Accuracy51.4%
Artificial AnalysisGemini 3.5 Flash (High) AA-Omniscience Non-Hallucination Rate37.8%
Artificial AnalysisGemini 3.5 Flash (Minimal) Intelligence Index23.8
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) Intelligence Index33.6
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%
Design ArenaGemini 3.5 Flash Agents Arena Agenticgamedev Elo1159
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 Elo1186
Design ArenaGemini 3.5 Flash Agents Arena Blender3d Elo1002
Design ArenaGemini 3.5 Flash Agents Arena Full Stack Elo1197
Design ArenaGemini 3.5 Flash Agents Arena Godotgamedev Elo1098
Design ArenaGemini 3.5 Flash Agents Arena Htmlslides Elo1039
Design ArenaGemini 3.5 Flash Agents Arena Mobile Apps Elo1175
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 Elo1134
Design ArenaGemini 3.5 Flash Agents Arena Spreadsheet Elo1061
Design ArenaGemini 3.5 Flash Agents Arena Webapps Elo1202
Design ArenaGemini 3.5 Flash Models Arena 3D Elo1239
Design ArenaGemini 3.5 Flash Models Arena Asciiart Elo1250
Design ArenaGemini 3.5 Flash Models Arena Code Categories Elo1265
Design ArenaGemini 3.5 Flash Models Arena Data Visualization Elo1236
Design ArenaGemini 3.5 Flash Models Arena Game Development Elo1263
Design ArenaGemini 3.5 Flash Models Arena SVG Elo1253
Design ArenaGemini 3.5 Flash Models Arena UI Component Elo1267
Design ArenaGemini 3.5 Flash Models Arena Website Elo1267
Vals AIGemini 3.5 Flash Code Migration26.7%
Vals AIGemini 3.5 Flash CorpFin v264.7%
Vals AIGemini 3.5 Flash EMB63.5%
Vals AIGemini 3.5 Flash Finance Agent (v2)57.9%
Vals AIGemini 3.5 Flash GPQA Diamond92.7%
Vals AIGemini 3.5 Flash Harvey's Legal Agent Benchmark v12.5%
Vals AIGemini 3.5 Flash LiveCodeBench87.6%
Vals AIGemini 3.5 Flash LegalBench83.6%
Vals AIGemini 3.5 Flash Legal Research Bench30.8%
Vals AIGemini 3.5 Flash MedCode55.8%
Vals AIGemini 3.5 Flash MedScribe76.6%
Vals AIGemini 3.5 Flash MMLU Pro89.5%
Vals AIGemini 3.5 Flash MMMU Pro88.3%
Vals AIGemini 3.5 Flash MortgageTax68.1%
Vals AIGemini 3.5 Flash ProgramBench0.0%
Vals AIGemini 3.5 Flash ProofBench v1.131.0%
Vals AIGemini 3.5 Flash SAGE49.9%
Vals AIGemini 3.5 Flash SkillsBench52.7%
Vals AIGemini 3.5 Flash SWE-bench78.8%
Vals AIGemini 3.5 Flash Tax Agent Bench21.7%
Vals AIGemini 3.5 Flash TaxEval v274.4%
Vals AIGemini 3.5 Flash Terminal-Bench 4.06.1%
Vals AIGemini 3.5 Flash Vals Index44.8%
Vals AIGemini 3.5 Flash Vals Multimodal Index62.9%
Vals AIGemini 3.5 Flash Vibe Code Bench v1.148.7%
Vals AIGemini 3.5 Flash Vals Web Search Index37.0%

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.

Google: Gemini Flash versions

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

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Not used in Standard routing:Why these endpoints are not used
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$0.75$4.50$0.075$0.1515.35s17 tps
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Flex
$0.75$4.50$0.075$0.150.91s100 tps
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$1.65$9.90$0.165$0.33----
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Priority
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Priority
$2.70$16.20$0.270$0.541.55s169 tps
100.00%
Throughput
169tok/s

P50, best across providers

Latency
0.91s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchGoogle Vertex92.4%75.3%Google Vertex (US)91.8%71.3%Google AI Studio91.9%70.7%auto-routing92.3%70.0%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.97%

Availability over the last 3 days

Last 72 hours
Availability 99.97%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.96%
Without Routing
99.75%

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.

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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.