MINIMAX

Prezzo MINIMAX-W 00100.HK

MINIMAX
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*Data last updated: 2026-04-29 08:53 (UTC+8)

As of 2026-04-29 08:53, MINIMAX-W 00100.HK (MINIMAX) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of 0,00%. Today, the stock price fluctuated between $0 and $0. The current price is 0,00% above the day's low and 0,00% below the day's high, with a trading volume of --. Over the past 52 weeks, MINIMAX has traded between $0 to $0, and the current price is 0,00% away from the 52-week high.

MINIMAX Key Stats

P/E Ratio0,00
Dividend Yield (TTM)0,00%
Shares Outstanding0,00

MINIMAX-W 00100.HK (MINIMAX) FAQ

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MINIMAX-W 00100.HK (MINIMAX) is currently trading at $0, with a 24h change of 0,00%. The 52-week trading range is $0–$0.

What are the 52-week high and low prices for MINIMAX-W 00100.HK (MINIMAX)?

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MINIMAX-W 00100.HK (MINIMAX) Latest News

2026-04-27 03:11

Hong Kong-Listed MiniMax-W Falls Over 14%, Zhipu Drops Over 6% on DeepSeek Model Launch

Gate News message, April 27 — Hong Kong-listed MiniMax-W fell over 14% intraday, while Zhipu dropped over 6% during the same session. The decline followed DeepSeek's release of a new model on Friday and its announcement of limited-time promotional offers on Saturday.

2026-04-27 02:32

TradFi Fall Alert: MINIMAX (MINIMAX-W 00100.HK) Falls Over 12%

Gate News: According to the latest Gate TradFi data, MINIMAX (MINIMAX-W 00100.HK) has dropped by 12% in a short period. Current volatility is significantly higher than recent averages, indicating increased market activity.

2026-04-27 00:21

DeepSeek Delays V4 Launch to Optimize for Huawei's Ascend Chips

Gate News message, April 27 — DeepSeek postponed the release of its V4 model to fine-tune its software stack for Huawei's Ascend chips, reflecting Beijing's broader initiative to develop a domestic AI supply chain as access to advanced foreign semiconductors becomes increasingly constrained. DeepSeek's V4-Pro model matches performance benchmarks set by OpenAI and Anthropic on major tests, while offering significantly lower API costs at $1.74 per million input tokens compared to Western competitors. The company reported that V4-Pro achieves 27% greater computational efficiency than its V3.2 predecessor, using substantially less computing power in a 1 million-token context. DeepSeek previously demonstrated cost efficiency with its R1 model, which the company said required less than $6 million to develop. Market reaction reflected the shift toward domestic chip adoption. Shares in Chinese AI companies MiniMax and Zhipu (Knowledge Atlas Technology) each fell approximately 8%, while chipmakers benefited: SMIC, China's largest contract chip manufacturer, rose 9% and Hua Hong Semiconductor climbed 15%. However, DeepSeek's technical report suggests the company remains partly dependent on Nvidia chips. Chinese semiconductors currently handle model inference, but only portions of V4 training appear adapted for domestic hardware, with the report not clarifying whether Nvidia chips performed the majority of the model's training phase.

2026-04-20 03:05

TradFi Rise Alert: MINIMAX (MINIMAX-W 00100.HK) Rises Over 4%

Gate News: According to the latest Gate TradFi data, MINIMAX (MINIMAX-W 00100.HK) has surged by 4% in a short period. Current volatility is significantly higher than recent averages, indicating increased market activity.

2026-04-20 02:04

TradFi Rise Alert: MINIMAX (MINIMAX-W 00100.HK) Rises Over 2%

Gate News: According to the latest Gate TradFi data, MINIMAX (MINIMAX-W 00100.HK) has surged by 2% in a short period. Current volatility is significantly higher than recent averages, indicating increased market activity.

Hot Posts su MINIMAX-W 00100.HK (MINIMAX)

AirdropBlackHole

AirdropBlackHole

7 ore fa
According to monitoring by Dongcha Beating, the UCSB team led by Feng Yu, in collaboration with fuzz.land and other organizations, has proposed AgentFlow, an automatic synthesis of multi-agent harnesses (programs that orchestrate agent roles, information transfer, tool allocation, and retry logic) for vulnerability discovery. The paper points out that when the model remains unchanged, merely altering the harness can significantly improve success rates, yet existing solutions are mostly manually written or only search local design spaces. AgentFlow utilizes a typed graph DSL to unify five dimensions of the harness (roles, topology, message patterns, tool bindings, and coordination protocols) into an editable graph program, allowing simultaneous modifications to agents, topology, prompts, and toolsets in a single step. The outer loop identifies failure points from runtime signals such as coverage of the target program and sanitizer reports, replacing the binary feedback of pass/fail. On TerminalBench-2, combined with Claude Opus 4.6, it achieved an 84.3% success rate (75/89), the highest score in its category on that leaderboard. In the Chrome codebase (35 million lines of C/C++), the system synthesized a harness containing 18 roles and approximately 210 agents, including 7 subsystem analyzers, 192 parallel explorers, and a four-stage crash classification pipeline, where dedicated agents like Crash Filter and Root Cause Analyzer deduplicate using unique ASAN crash signatures. Running the open-source model Kimi K2.5 on 192 H100 units for 7 days, it discovered 10 zero-day vulnerabilities, all confirmed by Chrome's VRP. Six have been assigned CVE numbers, involving WebCodecs, Proxy, Network, Codecs, and Rendering, with types including UAF, integer overflow, and heap buffer overflow, among which CVE-2026-5280 and CVE-2026-6297 are critical-level sandbox escapes. Fuzz.land co-founder Shou Chaofan stated that some vulnerabilities were initially discovered using MiniMax M2.5, which, along with Opus 4.6, can also find most vulnerabilities. AgentFlow has been open-sourced.
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