@_markfenner: On today's episode of Devinmaxxing: pick your model from your pocket. DevinX now does full model selection for local se…
Summary
DevinX now supports full model selection for local sessions, including Sol, Fable 5, GLM, Kimi, and an adaptive cost-balancing option, plus reasoning effort control.
View Cached Full Text
Cached at: 07/12/26, 11:03 PM
On today’s episode of Devinmaxxing: pick your model from your pocket.
DevinX now does full model selection for local sessions.
Sol, Fable 5, GLM, Kimi, or Adaptive if you’d rather it balance cost for you. Reasoning effort too.
@DevinAI shipped its own model picker. 🎥👇 https://t.co/LhLLmw0GHL
Similar Articles
@jeffboudier: "We give you model choice, without infrastructure chaos" — @MichaelDell, live from #DellTechWorld Kimi K2.6, DeepSeek V…
Dell and Hugging Face announce that multiple AI models including Kimi K2.6, DeepSeek V4 Pro, GLM 5.1, MiniMax M2.7, and DeepSeek V4 Flash are now available through Dell Enterprise Hub, optimized for PowerEdge XE9780 with NVIDIA B300, simplifying model choice and infrastructure.
@cognition: Try Kimi K2.7 and GLM 5.2 for free in Devin Desktop and CLI
Devin Desktop now supports Kimi K2.7 and GLM 5.2 models, offering free trials until July 5 for Pro/Max/Teams users.
@cjzafir: Models that I'm using daily: > Codex 5.5 high (fast) > Deepseek v4 pro via API > Kimi 2.6 via API Models that I am fine…
User shares a personal list of AI models they use daily (Codex 5.5, Deepseek v4 pro, Kimi 2.6) and for fine-tuning (Qwen 3.5 variants, Gemma4 E4B, GPT-oss 20B), aiming to fine-tune Small Language Models into Expert Language Models.
Devin Fusion (8 minute read)
Cognition introduces Devin Fusion, a multi-model harness that routes between frontier and cost-effective models using a sidekick architecture, achieving frontier-level performance at 35% lower cost.
@dabit3: Being model-agnostic allows @cognition to always offer "the best" models not just "our best" models. Devin Fusion is an…
Cognition introduces Devin Fusion, an adaptive model router that reduces cost by 35% while maintaining real frontier intelligence for agentic coding tasks.