Google: Gemini 3.5 Flash

Google: Gemini 3.5 Flash

GoogleLLM

Google: Gemini 3.5 Flash by Google

MultimodalAPI Available

Specifications

Context Window

1.0M tokens

Input Price/1M

$1.50

Output Price/1M

$9.00

Parameters

Speed

205 tok/s

Latency (TTFT)

10.4s

Max Output

66K tokens

Benchmarks

Google: Gemini 3.5 Flash results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Agentic

BenchmarkScoreMaximumMethodology
Terminal-Bench Hard41.0100.0

Coding

BenchmarkScoreMaximumMethodology
SciCode53.0100.0
AA Coding Index45.0100.0Artificial Analysis official API

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR71.0100.0

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index55.3100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
GPQA Diamond92.0100.0Artificial Analysis official API
IFBench76.0100.0
HLE41.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench96.0100.0

Information

Release date
May 19, 2026
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Google: Gemini 3.5 Flash

What is Google: Gemini 3.5 Flash?

Google: Gemini 3.5 Flash is an AI model developed by Google, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Google's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.

Pricing & Costs in 2026

Google: Gemini 3.5 Flash is usage-based, priced at $1.5/1M input tokens and $9/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.

Benchmarks & Performance

Google: Gemini 3.5 Flash was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Google: Gemini 3.5 Flash is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), multimodal processing combining text and images, text generation, summarization, translation, and general assistance.

Comparison with Alternatives

In the 2026 AI model ecosystem, Google: Gemini 3.5 Flash competes directly with similarly capable models. Key competitors include GPT (OpenAI), Claude (Anthropic), and open source models like Llama (Meta) and Qwen (Alibaba). The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is Google: Gemini 3.5 Flash?

Google: Gemini 3.5 Flash is an AI model developed by Google. It is a language model (LLM), with multimodal support (text, image and more).

How much does Google: Gemini 3.5 Flash cost?

Google: Gemini 3.5 Flash costs $1.5/1M input tokens and $9/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Google: Gemini 3.5 Flash compare with other models?

In available benchmarks, Google: Gemini 3.5 Flash scored: Terminal-Bench Hard: 41/100, SciCode: 53/100, AA Coding Index: 45/100. See the full table above for a detailed comparison.

Is Google: Gemini 3.5 Flash open source?

No, Google: Gemini 3.5 Flash is a proprietary model from Google. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Google: Gemini 3.5 Flash best for?

Google: Gemini 3.5 Flash excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations.

Last updated: June 01, 2026 View methodology →