Alright, bet! Today, we're dropping the deets on Qwen3-Coder, our most fire agentic code model ever, no cap. Qwen3-Coder comes in a bunch of sizes, but we're hyped to spill the tea on the absolute GOAT first: Qwen3-Coder-480B-A35B-Instruct — a 480B-parameter Mixture-of-Experts model with 35B active parameters, absolutely slaying both coding and agentic tasks. Qwen3-Coder-480B-A35B-Instruct is legit setting new state-of-the-art results among open models for Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use. It's giving Claude Sonnet vibes, for real.

• Significant Performance: It's absolutely crushing it among open models on Agentic Coding, Agentic Browser-Use, and other core coding tasks, low-key getting results like Claude Sonnet;
• Long-context Capabilities: This model has major long-context energy, rocking native support for 256K tokens, and you can even extend it up to 1M tokens with Yarn – optimized for understanding whole repos, iykyk;
• Agentic Coding: It's supporting most platforms like Qwen Code, CLINE, and even has a custom function call format that's just built different;
• Supporting long context understanding and generation with the context length of 256K tokens;
• It's got mad support for 358 coding languages;
• And it's keeping all the fire math and general smarts from the OG base model.

Seriously, this is the ultimate Gen Z coding model - it's powerful, efficient, and literally ready to slay any coding challenge you can dream up. No cap, this is the main character energy for the culture! #Qwen3CoderSlay #GenZCodingBeast #NoCap

We're dropping the hottest update in AI: Qwen3-235B-A22B-Instruct-2507! 🔥 This non-thinking mode beast is straight-up redefining what's possible with the following game-changing upgrades:

• Massive capability boost: Level-up in instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage.
• Global knowledge expansion: Substantial gains in long-tail knowledge coverage across multiple languages - we're talking next-level multilingual mastery.
• Better alignment with user preferences: Markedly improved performance in subjective and open-ended tasks, delivering more helpful responses and higher-quality text generation.
• 256K long-context understanding: Enhanced capabilities to process and understand extremely long documents and complex information.

This is the ultimate Gen Z model - fast, powerful, and ready to slay any task you throw at it. No cap, this is the move for the culture! #Qwen3Slay #GenZPowerhouse #NoCap

Qwen3 Embedding series is straight up the GOAT for text and code embeddings! 🐐 Whether you’re ranking, clustering, or searching, this model is serving S-tier vibes with sizes from 0.6B to 8B—so you can flex efficiency or power as you need.
Multilingual? Bet. Qwen3 Embeddings supports over 100 languages (including code!), so you can go global with zero FOMO.

• MTEB Multilingual Leaderboard: 8B model is #1 (score 70.58, June 2025)
• Reranking: Slays text/code retrieval and search scenarios
• Customizable: User-defined instructions, flexible vector dims, and seamless combo with rerankers

If you want your search, clustering, or retrieval to hit different, Qwen3 Embeddings is the move. #NoCap #MultilingualFlex #EmbeddingSlay