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What is Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is distinguished as the fastest model in Google's Gemini 3.5 series, designed specifically for low-latency tasks and enhancing developer workflows that require high throughput, such as agentic search, document processing, coding, and comprehensive data analysis. It features an impressive output rate of 350 tokens per second and represents a substantial upgrade from previous Flash-Lite versions in both quality and agentic functionalities. Developers can tailor the model's cognitive level based on the task requirements: minimal or low thinking is ideal for quick processing of large datasets, while higher thinking levels are suited for more complex, multi-step workflows that involve subagents. Additionally, the model comes with integrated computational abilities, allowing it to function seamlessly in various digital environments across supported platforms. Gemini 3.5 Flash-Lite also shines in coding tasks, managing lengthy contexts, and carrying out real-world applications, consistently surpassing the performance of its predecessor, Gemini 3.1 Flash-Lite, in crucial evaluations and even outdoing Gemini 3 Flash in numerous benchmarks related to agentic capabilities and software development. This remarkable performance demonstrates its potential to revolutionize the way developers tackle intricate workflows and handle data-heavy tasks, making it a game-changer in the field. As developers continue to explore its capabilities, they are likely to uncover new applications that further enhance their productivity.

What is Claude Haiku 5.5?

Claude Haiku 5.5 is an Anthropic AI model built for high-volume and latency-sensitive AI workloads that require a balance of speed, cost, context capacity, and reasoning. Its primary use cases include classification, routing, information extraction, and subagent tasks within larger AI systems. Claude Haiku 5.5 introduces adaptive thinking, which allows the model to decide when reasoning is needed and how much thinking to apply before producing a response. Adaptive thinking is enabled by default, while the effort parameter gives developers a way to trade response quality against latency and cost. Developers can disable thinking at high effort or below, but Anthropic recommends using effort as the primary mechanism for controlling the model's reasoning behavior. The model provides a 1 million token context window, representing a substantial increase from the 200,000-token context window available with Claude Haiku 4.5. It can generate as many as 128,000 output tokens compared with the previous model's 64,000-token maximum, although thinking tokens are included within the configured output allowance. Browser use is available through the Claude API and Google Cloud, enabling developers to incorporate the model into workflows that require interaction with browser-based environments. Claude Haiku 5.5 uses the newer tokenizer found in Claude 4.7 and later models, resulting in approximately 30% more tokens for the same text compared with Claude Haiku 4.5, depending on the content. The model also changes several API behaviors, including replacing manual extended thinking with adaptive thinking, rejecting non-default sampling parameters and assistant-message prefills, and requiring updated computer-use tooling for supported environments.

Media

Media

Integrations Supported

.NET
Bind AI
C#
Cursor
Factory Droid
Gemini Enterprise Agent Platform
Google Antigravity
Java
Objective-C
OfoxAI
OpenClaw
PHP
PowerShell
Python
R
Replit
Scala
Solidity
TypeScript
YAML

Integrations Supported

.NET
Bind AI
C#
Cursor
Factory Droid
Gemini Enterprise Agent Platform
Google Antigravity
Java
Objective-C
OfoxAI
OpenClaw
PHP
PowerShell
Python
R
Replit
Scala
Solidity
TypeScript
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens

Pricing Information

$0.10 per 1M tokens (input)
For prompts under 100K tokens, it's $0.10 input / $0.50 output per million tokens with cache reads at $0.01. Above 100K tokens, $0.50 input / output $2.50 per million, with cache reads at $0.05.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Company Facts

Organization Name

Anthropic

Date Founded

2021

Company Location

United States

Company Website

claude.ai

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Vision Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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