Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
GateRouter
Smartly choose from 40+ AI models, with 0% extra fees
OpenAI在Microsoft Foundry推出GPT-chat-latest模型
AIMPACT News, May 6th (UTC+8), OpenAI recently launched the latest chat model GPT-chat-latest (corresponding to GPT-5.5 Instant in the API) at Microsoft Foundry. This model is built on GPT-5.4 and GPT-5.3-chat, achieving measurable improvements in factual accuracy, tool invocation, and response efficiency. Compared to GPT-5.3-chat, hallucination frequency is reduced by 52.5%, hallucination statements by 37.3%; it performs excellently across multiple benchmarks: scientific chart reasoning increased from 75.0 to 81.6, expert multimodal reasoning from 69.2 to 76.0, PhD-level scientific questions from 78.5 to 85.6, and competitive math from 65.4 to 81.2. In terms of output efficiency, the number of words in common prompts is reduced by approximately 25-30%, and tool invocation and retrieval capabilities are also improved. The model aims to support practical workflows such as multi-turn dialogue assistants, agent systems, and retrieval-augmented applications. (Source: InFoQ)