ChatGPT vs Gemini vs Claude vs Copilotセミナー|【西日本新聞me】 https://www. yayafa.com/2775775/ # Agen
agents claude copilot deepseek gemini google gpt-5 openai
| Source: Mastodon | Original article
A four‑hour seminar hosted by the West Japan newspaper me in Fukuoka brought together senior engineers from OpenAI, Google DeepMind, Anthropic and Microsoft to pit their flagship large‑language models—ChatGPT (GPT‑5.2), Gemini 3, Claude Opus 4.6 and Copilot X—against one another on a series of real‑world tasks. Attendees watched live demos that measured cost per token, latency on code‑completion workloads, and the ability of each system to orchestrate autonomous agents in VS Code, JetBrains and Android Studio environments.
The event’s most striking finding was that Gemini 3 edged out ChatGPT on raw inference speed while Claude Opus delivered the highest accuracy on complex reasoning prompts. Microsoft’s Copilot, meanwhile, remained the cheapest option for integrated development‑tool workflows, thanks to its tight coupling with Azure’s consumption‑based pricing. Organisers also highlighted a new “agentic‑AI” benchmark that evaluates how well each model can spawn, monitor and terminate sub‑agents to solve multi‑step problems—a metric that aligns with the multi‑agent research we covered in our PaperOrchestra piece earlier this month.
Why it matters is twofold. First, the head‑to‑head data gives enterprises a clearer basis for choosing a platform as AI‑driven development becomes a strategic priority across the Nordics. Second, the focus on autonomous agents signals a shift from single‑turn chat to self‑directed workflows, a trend that could accelerate both productivity gains and security concerns—issues we explored in the Claude Mythos coverage.
Looking ahead, the next round of benchmarks is slated for the autumn AI Summit in Stockholm, where Google promises a “Gemini 3.5” update and OpenAI teases a GPT‑5.3 with expanded tool‑use APIs. Observers will also watch how pricing reforms announced by Microsoft and Anthropic affect the cost‑effectiveness of agentic solutions, and whether regulators in Europe will intervene as autonomous AI agents become more pervasive.
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