Question 1

What is Gemini 3.5 Flash?

Accepted Answer

Gemini 3.5 Flash is a model from Google Gemini AI, released on May 19, 2026. 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.

Question 2

How much does Gemini 3.5 Flash cost?

Accepted Answer

On the Respan gateway, input starts at $1.50 per 1M tokens on every provider, and output starts at $9.00 per 1M tokens on every provider, after gateway discounts.

Question 3

Which providers serve Gemini 3.5 Flash on Respan?

Accepted Answer

7 providers serve Gemini 3.5 Flash: DeepInfra, Google Gemini AI, Inference.net, OpenRouter, Perplexity, and Google Vertex AI. Perplexity and Google Vertex AI require your own provider API key (BYOK).

Question 4

What is Gemini 3.5 Flash's context window?

Accepted Answer

Gemini 3.5 Flash accepts up to 1.0M tokens of context on its largest provider route.

Question 5

How do I use Gemini 3.5 Flash with the Respan gateway?

Accepted Answer

Point any OpenAI-compatible SDK at https://api.respan.ai/api/ with your Respan API key and set the model to "gemini/gemini-3.5-flash". To set it up with a coding agent, copy the agent setup prompt at the top of this page.

Question 6

How fast is Gemini 3.5 Flash?

Accepted Answer

Over the last 30 days of requests through the Respan gateway, the fastest provider was Google Gemini AI at 12045 tokens per second, and the lowest response latency was 1.2 seconds on OpenRouter. Speed varies with request size and provider.

Question 7

Where does Gemini 3.5 Flash rank on the Respan Index?

Accepted Answer

Gemini 3.5 Flash scores 42.3 out of 100 on the Respan Index v1.1, ranking #40 of 138 models. By category: Coding 19.6, Agents 49.7, Reasoning 42.0, Knowledge & language 65.9, and Human preference 52.8. The Respan Index combines independent and lab-reported benchmark results into one score, using benchmark data collected by llmmetric.com.

Question 8

How does Gemini 3.5 Flash score on benchmarks?

Accepted Answer

Gemini 3.5 Flash has 39 published benchmark scores, including SWE-bench Verified 79.3%, MCP Atlas 83.6%, and GPQA Diamond 92.8%. Each score links to where it was published; the data is collected by llmmetric.com.

Provider	Context	Input	Output
DeepInfra`deepinfra/google/gemini-3.5-flash`	1M	$1.50/M	$9.00/M
Google Gemini AI`gemini/gemini-3.5-flash`	1.0M	$1.50/M	$9.00/M
Inference.net`inference_net/gemini-3.5-flash`	1.0M	$1.50/M	$9.00/M
OpenRouter`openrouter/google/gemini-3.5-flash`	1.0M	$1.50/M	$9.00/M
PerplexityBYOK only`perplexity/google/gemini-3.5-flash`	1.0M	$1.50/M	$9.00/M
Google Vertex AIBYOK only`vertex_ai_beta/gemini-3.5-flash`	1.0M	$1.50/M	$9.00/M
Google Vertex AIBYOK only`vertex_ai/gemini-3.5-flash`	1.0M	$1.50/M	$9.00/M

Gemini 3.5 Flash

Providers

Certified where it counts.

Pricing

Cost by volume

Throughput and latency

Output speed

Time to first token

Response latency

Benchmarks

Respan Indexv1.1

Coding7

Apps

Gemini 3.5 Flash FAQ

Works with your entire stack

Built for AI agents.
Break less.
Ship more.

Agents7

Reasoning9

Math7

Knowledge4

Multimodal1

Arena3

Other1