Top 5 AI Models of the Week

May 17 – May 24, 2026

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This week, there is a growing interest in new models like Gemini 3.5 Flash and Claude Mythos, which demonstrate significant achievements in security and functionality.

#1 Gemini 3.5 Flash NEW

This week, Google unveiled Gemini 3.5 Flash at I/O, generating significant interest in the community. However, early feedback has been mixed due to access issues and concerns about quality.

Gemini 3.5 Flash is designed for agentic and coding scenarios and is part of a broader product lineup that includes Gemini Omni.

#2 Claude Mythos NEW

This week, Anthropic reported significant successes of Claude Mythos in vulnerability detection, drawing attention to its application in security. This update highlights the importance of frontier models in both offensive and defensive security.

Mythos Preview helped identify over 10,000 vulnerabilities, with 90.6% confirmed by independent audits.

#3 Mythos Preview NEW

The Mythos Preview update from Anthropic also became a significant event this week, showcasing the model's effectiveness in real-world conditions. This underscores the growing role of LLMs in the security domain.

The model flagged 6,202 potentially dangerous cases in open-source projects, confirming its high accuracy.

#4 Antigravity 2.0 NEW

Google introduced Antigravity 2.0 at I/O, which is part of a broader product lineup that includes Gemini 3.5 Flash. This update generated interest but also raised questions about its actual performance.

Antigravity 2.0 includes CLI, SDK, and voice integrations, expanding its functionality.

#5 Qwen 3.7 NEW

Alibaba unveiled Qwen 3.7-Max this week, highlighting its AI stack and infrastructure. This event underscores the company's push for independence from NVIDIA.

Qwen 3.7-Max showcases operation on its own Zhenwu M890 chips, which is part of the company's broader strategy.

Rankings are based on independent discussion volume and engagement, with no manual position editing.

About methodology

Algorithm analyzes thousands of mentions in technical channels, counting unique sources and discussion quality. Positions are determined automatically based on popularity and relevance for the Russian-speaking AI community.

Updated: May 24, 2026 18:01 MSK

Frequently asked questions

How is the weekly AI models ranking compiled?

The algorithm aggregates model mentions across 50+ Russian-language AI channels and chats over a week, counting independent discussions, unique sources, and engagement (reactions, replies). Positions are determined automatically — no manual editing.

How does this differ from Hugging Face or LMArena?

HF and LMArena rank models by technical benchmarks and user votes. This ranking measures real practitioner discussion volume in the Russian-speaking engineering community — what people are actually trying, comparing, and debating this week.

Can I see archive of previous weeks?

Yes, the archive navigation is under the rankings table. Each week is preserved at a stable URL so you can reference specific weeks and compare trends over time.

How often is the ranking updated?

Once a week — every Sunday at 21:00 MSK a new edition is published. The page stays stable mid-week so it remains a reliable reference.