Latest updates, product announcements and industry insights
April 2026
Apr 27
GPT-5.4 output pricing at ¥115.20/million tokens versus ¥14.40 input, with a 400K context window making long-document processing costs manageable. Compared to Claude 3.5 Sonnet's 200K window and Gemini 1.5 Pro's million-token window, OpenAI still leads on agent calling stability. This guide provides ready-to-run code snippets for cURL, Python, and Node.js, focusing on SSE streaming response stitching and real-time usage field billing estimation—pitfalls you didn't worry about with GPT-
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Apr 27
OpenAI and Google have diverged on flagship definitions in 2026: GPT-5.4 Pro trades ¥86.40/M tokens for 128K long-output capability, while Gemini 3.1 Pro (Preview) bets on 2M context at ¥9.00/M. This guide dissects the full pricing spectrum from ¥2.88 to ¥345.60 per million tokens, unpacking real-world context utility and hidden cost traps before you commit.
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Apr 27
Qwen 3 (32B) offers a 128K context window at ¥2.5 per million input tokens, positioning it as a pragmatic choice among domestic open-source models. With 32B parameters, it delivers lower latency and memory footprint than 100B+ alternatives, ideal for RAG scenarios processing entire codebases without chunking logic. This guide covers three-language implementation, billing mechanics, and common pitfalls for backend and full-stack engineers.
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Apr 27
Claude Haiku 4.5 (¥7.20/M input tokens) costs nearly 3x more than Qwen 3 32B (¥2.50/M), yet Anthropic's toolchain completeness narrows the four-month gap. For code completion, Haiku 4.5's latency optimization may offset cost; long-dialogue agents must weigh Qwen 3's Chinese validation depth against Haiku 4.5's 200K context window. The core question: is your traffic read-heavy or call-intensive?
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Apr 27
Gemini 2.0 Flash costs ¥0.72/M input tokens vs GPT-5.4 Mini's ¥2.88—just one-fourth the price. But GPT-5.4 Mini's 16384 max_output doubles Gemini's 8192 limit. In output-heavy workloads, OpenAI's marginal cost scales exponentially: a single customer service agent call costs 6.7x more, not 4x. This guide breaks down billing traps, capability boundaries, and selection logic to help you avoid the "cheap on paper, expensive in production" pitfall.
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