
GLM-5.1 Tops SWE-Bench Pro With Zero NVIDIA Hardware
Z.ai's GLM-5.1 scores 58.4 on SWE-bench Pro, edging out GPT-5.4 and Claude Opus 4.6, after being trained on 100,000 Huawei Ascend chips with no US silicon.
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Z.ai's GLM-5.1 scores 58.4 on SWE-bench Pro, edging out GPT-5.4 and Claude Opus 4.6, after being trained on 100,000 Huawei Ascend chips with no US silicon.

Cursor's ground-up IDE rebuild ships parallel agent orchestration, Design Mode for frontend work, and cloud-to-local session handoff - all in one unified workspace.

Claude Sonnet 4.6 and GPT-5.4 cost nearly the same per token but win on opposite benchmarks. Here is where each model leads and which to pick for your workload.

Alibaba officially launches Qwen3.6-Plus, a 1-million-token context model built for enterprise agentic coding and multimodal reasoning, now free on OpenRouter.

Arm says its 136-core AGI CPU is purpose-built for agentic AI workloads. Intel's data center chief - Arm's former head of solutions engineering - says the claim overstates what's actually new.

NVIDIA Nemotron 3 Super is the strongest open-weight model for agentic coding as of March 2026, but its efficiency-first design means real trade-offs on general knowledge and chat quality.

Shopify activated Agentic Storefronts by default on March 24, making products from millions of merchants discoverable and purchasable inside ChatGPT, Microsoft Copilot, and Google's AI channels.

Anthropic's new Auto Mode for Claude Code uses a two-layer classifier to automatically approve or block risky commands, offering a middle path between manual approvals and full autonomy.

Moonshot AI's Kimi K2.5 delivers best-in-class open-weight math and a genuinely novel multi-agent architecture, but a brutal hallucination rate and slow inference limit its real-world reliability.

At its Arm Everywhere event in San Francisco, Arm unveiled the AGI CPU - a 136-core data center processor co-developed with Meta and the company's first owned silicon product in its 35-year history.

Xiaomi's MiMo-V2-Pro is a 1-trillion-parameter MoE model with 42B active params, 1M context, and agentic coding performance that rivals Claude Sonnet 4.6 at a fraction of the cost.

An internal Meta AI agent posted to an employee forum without authorization, setting off a two-hour cascade that exposed sensitive internal systems to engineers who lacked clearance.