Top-Rated LLMs for Chat in 2025
Blog post from BentoML
The text discusses the significance of open-source large language models (LLMs) in developing AI applications, contrasting them with proprietary models like GPT-5 and Claude Sonnet 4, which offer convenience but come with limitations such as vendor lock-in and data privacy concerns. It highlights several top-rated open-source LLMs for 2025, such as DeepSeek-V3.1, gpt-oss-120b, and Qwen3-235B-A22B-Instruct-2507, each noted for their unique features like hybrid thinking modes, efficient reasoning performance, and multilingual capabilities. The document emphasizes the advantages of open-source LLMs, including customization, data security, and cost-effectiveness, while also addressing the importance of inference optimization and distributed architectures for performance enhancement. It concludes by suggesting that open-source LLMs allow more control and flexibility in AI application development, with companies like Bento offering support in deploying these models efficiently.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 53 | 4,463 | 693 | 231 | -5% |
| AI Agents | 2 | 3,172 | 618 | 197 | +1% |
| Observability | 2 | 1,812 | 425 | 162 | -19% |
| AI Model Fine-tuning | 1 | 388 | 126 | 68 | -43% |
| RAG | 1 | 1,161 | 249 | 102 | -9% |
| Reinforcement learning | 1 | 111 | 36 | 27 | +6% |
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