Top 5 AI Models of the Week
June 28 – July 05, 2026
This week, there is a growing interest in open-source models and new functionalities, such as GLM-5.2 and Claude Sonnet 5.
This week, Anthropic launched Claude Sonnet 5, making it available to a wider audience, including free access. The model is positioned as a cheaper working default with an announced pricing structure.
Claude Sonnet 5 offers an API pricing of $2 per 1M input and $10 per 1M output, making it accessible for developers.
Z.ai released ZCode 3.0, an AI-native IDE that supports multi-agent workflows. This release marks a significant step for development with agents.
ZCode 3.0 includes code review features and tight integration with GLM-5.2, making it a powerful tool for developers.
This week, GLM-5.2 surpassed Claude Opus 4.8 on Terminal Bench 2.1, sparking discussions about its performance. The model is also integrated into ZCode 3.0.
On Terminal Bench 2.1, GLM-5.2 scored 82.7, while Claude Opus 4.8 scored 78.9, highlighting its competitiveness.
Meituan announced LongCat 2.0, trained on Chinese chips, drawing attention to architectural solutions for long context.
LongCat 2.0 includes information on API pricing and training parameters at a large scale.
Mistral updated Leanstral to version 1.5, marking an important step for supporting formal verification in Lean 4.
Leanstral 1.5 is aimed at assisting in the formulation and verification of proofs, making it useful for developers.
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: July 05, 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.