Mixture of Experts AI model analysis: Mistral 3, DeepSeek-V3.2 & Claude Opus 4.5
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Dec 5, 2025 Gabe Goodhart, Chief Architect in AI Open Innovation, shares insights on Mistral 3's multimodal capabilities while tackling DeepSeek-V3.2's innovative reasoning-first approach. Aaron Baughman, an IBM Fellow Master Inventor, discusses Claude Opus 4.5's developer focus and how ensemble strategies shape digital workflows. Abraham Daniels highlights open-source differentiation and the competition in AI platforms. The trio debates scaling laws in AI, sparked by a blog on Gemini 3, and confronts Amazon's decision to restrict ChatGPT's shopping agent, revealing the complex motives at play.
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Labs Lean Into Distinct Strengths
- Open-source models are specializing by playing to lab strengths rather than uniformly innovating on attention mechanics.
- Mistral emphasizes out-of-the-box multimodality while DeepSeek pushes novel attention for efficiency.
Tinkering With Mistral 3B Locally
- Gabe pulled a Mistral 3B onto his dev box and ran multimodal workflows through OpenWeb UI during downtime.
- He found it fun and effective for coding help and vision tasks on a local machine.
Reasoning And Tool-Calling As Differentiators
- Models are optimizing for downstream workflows like tool calling and agent reasoning as the next frontier.
- DeepSeek focuses on reasoning-first design to improve agentic performance and tool integration.