Claude Haiku 5.5
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What is Hunyuan-TurboS?
Tencent's Hunyuan-TurboS is an advanced AI model designed to provide quick responses and superior functionality across various domains, encompassing knowledge retrieval, mathematical problem-solving, and creative tasks. In contrast to its predecessors that operated on a "slow thinking" paradigm, this revolutionary system significantly enhances response times, doubling the rate of word generation while reducing initial response delay by 44%. Featuring a sophisticated architecture, Hunyuan-TurboS not only boosts operational efficiency but also lowers costs associated with deployment. The model adeptly combines rapid thinking—instinctive, quick responses—with slower, analytical reasoning, facilitating accurate and prompt resolutions across diverse scenarios. Its exceptional performance is evident in numerous benchmarks, placing it in direct competition with leading AI models like GPT-4 and DeepSeek V3, thus representing a noteworthy evolution in AI technology. Consequently, Hunyuan-TurboS is set to transform the landscape of artificial intelligence applications, establishing new standards for what such systems can achieve. This evolution is likely to inspire future innovations in AI development and application.
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.
Integrations Supported
.NET
Brokk
CLion
Charlie
Cursor
Dessix
Elixir
Google Antigravity
JetBrains Junie
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
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
Windows
Mac
On-Prem
Linux
Supported Platforms
SaaS
Customer Service / Support
Not specified
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
Tencent
Date Founded
1998
Company Location
China
Company Website
github.com/Tencent/llm.hunyuan.turbo-s
Company Facts
Organization Name
Anthropic
Date Founded
2021
Company Location
United States
Company Website
claude.ai
Categories and Features
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