If you’re still paying premium prices to test “agentic coding,” you’re already late. DeepSeek-V4 is free on ZenMux right now. API + Chat, OpenAI/Anthropic protocol support, and built to plug into real dev workflows. Most model launches beg for attention. This one steals
AGENTS
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LangChain Fleet Agents Now Support Multiple AI Models at Scale
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No longer are Fleet agents constrained to a single model.
— LangChain (@LangChain) 4 mai 2026
With multi-model support, you can build more efficient agents at scalehttps://t.co/YJI6Y7SjK0 https://t.co/5cK3wOOadiNo longer are Fleet agents constrained to a single model. With multi-model support, you can build more efficient agents at scale http://
langchain.com/langsmith/fleet -

Grok 4.3: 10x cheaper, close to frontier models
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Grok 4.3 is literally 10x cheaper than GPT-5.5 or Claude for token output costs. It's also shockingly close on benchmarks (or better in some long-horizon agent tests) to the frontier models.
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AI Agent Drifts From Instructions After a Few Days
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Mostly instructing it to do things on a schedule and then it drifting further and further away from what it was instructed to do. Like it will follow instructions for a day or two and then seemingly forget what was instructed a few days prior.
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User Frustrated with OpenClaw AI Agent After Four Months
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I don't know if this is a skill issue or something… But I've been playing with OpenClaw a ton for the past 4ish months. I feel like lately I'm spending more time troubleshooting issues with it and telling it what it's doing wrong than I am actually getting valuable use from it.
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Model personality swap creates perfect planner-executor combo
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The models swapped personalities this month. Opus 4.7 got more rigid and precise. GPT-5.5 got more natural and conversational. That's not a bug. That's why this combo works. One model became the perfect planner. The other became the perfect executor. Use them for what
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Opus outlines, GPT-5.5 drafts and executes
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This works beyond coding. Content strategy: use Opus to outline the argument structure. Use GPT-5.5 to draft. Research: use Opus to design the research methodology. Use GPT-5.5 to execute the analysis. Business planning: use Opus to define the framework. Use GPT-5.5 to
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Learning with AI Agents from X’s Smartest People
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And it isn't really fair criticism. I've been on many spaces defending you all against criticism.
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Opus 4.7 tight plans enable GPT-5.5 confident execution
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Why this works. Opus 4.7 writes tight, contract-style plans. Exact file counts. Line limits. First-principles architecture. It thinks like a senior engineer scoping a project. GPT-5.5 reads that plan and executes with confidence. It deletes files, rewrites from scratch,
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Opus 4.7 plus GPT-5.5 nearly doubles benchmark scores
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Dan Shipper at Every tested this on their Senior Engineer Benchmark. The scores:
Opus 4.7 alone: low 30s GPT-5.5 alone: low-to-mid 40s Opus 4.7 planning + GPT-5.5 executing: 62.5 For reference, human senior engineers score 80-90. The combo nearly doubled either model's