LLM

A practical GPT-5.6 vs GPT-5.5 comparison: what actually changed across the new Sol/Terra/Luna tiers, pricing, reasoning modes, benchmarks, and a clear decision guide on whether to upgrade or stay put.

The 2026 memory crunch reshuffled the math on local AI. Here are the cheapest viable paths to run a local LLM right now — used GPUs, used Apple Silicon, CPU+RAM for MoE models, and cloud rental — ranked by dollars, with an honest beginner verdict.

OpenAI is retiring the gpt-3.5-turbo API on October 23, 2026. Here are the exact shutdown dates, what replaces GPT-3.5, and how to migrate before it's gone.

Claude Fable 5 has been offline since a June 12, 2026 U.S. export-control order. Here's why it was suspended, whether it's back, and what to use meanwhile.

OpenAI's GPT-5.5 Cyber ships gated under the Daybreak program. What 'trusted access' means, the CyberGym-vs-Mythos-5 benchmark claim (and its caveats), and what defenders and developers should take from it.

A coding head-to-head: GLM-5.2's leaderboard-topping text coding vs MiniMax M3's native multimodality, lower price, and MSA long-context speed — with specs, benchmarks, and a clear verdict.

A practical walkthrough for self-hosting GLM-5.2 (744B MoE, 40B active) on llama.cpp. Quant tables, four hardware paths, exact install commands, verification, and a fallback to the Z.ai cloud API if your rig falls short.

Four credible 128GB-class boxes, four very different price points. We synthesise what practitioners with the hardware on their desks are actually reporting.

VibeThinker-3B is WeiboAI's MIT-licensed 3B reasoning model built on Qwen2.5-Coder-3B. We unpack the viral 'Opus 4.5 performance' claim with the actual HF benchmarks.

Z.ai's GLM-5.2 is the leading open-weights LLM on the Artificial Analysis Intelligence Index v4.1. 744B params (40B active), 1M-token context, MIT-licensed weights. Architecture, benchmarks, pricing, and a 3-path local-inference playbook.

Two open-weights heavyweights from China go head-to-head for the agentic-coding throne. K2.7 leads on MCP tool-use depth; V4 leads on raw per-token economics and proven independent benchmarks. We break down cost, agentic strength, self-host paths, and pick a winner per workload.

Moonshot's open-weights Kimi K2.7 Code goes head-to-head with Anthropic's Claude Opus 4.8. Architecture, benchmarks (and where they don't exist yet), per-task cost, agentic strength, self-host paths, and a clean per-workload verdict.

Moonshot's Kimi K2.7 Code and Z.ai's freshly-released GLM 5.2 are both Chinese open-weights coding flagships, both shipped in June 2026, and they trade on opposite axes. K2.7 leads on MCP tool use and pricing; GLM 5.2 leads on 1M context. We pick per workload.

GLM 5.2 ships 1M-token context and MIT open weights on a flat subscription. Claude Opus 4.8 stays the agentic-coding benchmark at premium per-token pricing. We compare cost, agentic strength, self-hosting and pick a winner per workload.

Two open-weights heavyweights from China go head-to-head for the agentic-coding throne. GLM 5.2 leads on context window; DeepSeek V4 leads on token economics. We break down cost, agentic strength, self-host paths, and pick a winner per workload.

OpenAI's flagship versus Z.ai's freshest open-weights challenger. GPT-5.5 holds frontier coding benchmarks; GLM 5.2 ships a 1M window and self-hostable weights. Where each actually wins for engineering teams.

Zhipu Z.ai shipped GLM 5.2 today on every GLM Coding Plan tier with a usable 1M-token context window. Standalone API, the Z.ai chatbot, and the MIT open weights are arriving next week. No benchmarks yet — here's what's confirmed, what's not, and how it fits next to GLM-5.1.

How Moonshot's open-weight Kimi K2.7 Code stacks up against Claude Opus 4.8, GPT-5.5, and DeepSeek V4 for agentic coding — on price, context, and the benchmarks that exist. K2.7's scores are Moonshot-reported only, so the verdict is subject to change once independent results land.

Moonshot AI's Kimi K2.7 Code — a 1T-parameter open-weight coding model with a 256K context, ~30% fewer thinking tokens than K2.6, and strong MCP tool-use. Benchmarks, pricing, API, and local-deployment guide.

Anthropic's first publicly available Mythos-class model, released June 9, 2026. Third-party benchmarks, pricing, context window, availability, the safety reroute to Opus 4.8, and how it compares to GPT-5.5 and Gemini 3.5.

A practical 2026 comparison of Kimi K2.6, GPT-5.5, and Claude Opus 4.8 on coding benchmarks, reasoning, pricing, and self-host economics — plus which to pick by use case.

May 2026 state of the AI benchmark leaderboard: SWE-bench Verified + Pro, GAIA, Terminal-Bench 2.0, GDPval, MCP Atlas, USAMO, GPQA, HLE. Who leads, what's the gap, what each score actually means.

Anthropic launched Claude Opus 4.8 on May 28, 2026: SWE-bench Pro 69.2%, GDPval Elo 1890 (+121 over GPT-5.5), Fast mode 3x cheaper than 4.7, dynamic workflows for hundreds of parallel subagents. Pricing unchanged at $5/$25 per 1M. Full launch breakdown.

Two weeks after Qwen 3.7 Max, Alibaba shipped WebWorld: an Apache 2.0 web world model series that simulates browsers for agent training. Sizes, benchmarks, code, gotchas.