作者注：A deep dive into the 14 reference image feature of Gemini 3.1 Flash Image Preview and Gemini 3 Pro Image Preview, covering the correct usage of Object Fidelity and Character Consistency, and quota allocation strategies. Gemini image models support mixing up to 14 reference images for image generation. However, many developers aren't clear on the…
作者注：A deep dive into SynthID invisible watermarking technology in Nano Banana generated images, explaining its working principles, detection methods, tamper resistance, and commercial implications, to help developers understand AI image watermarking mechanisms. When you're generating images using the Nano Banana API, you might have noticed a line in the documentation: "All generated images include a…
Author's Note: A detailed comparison of low-cost access channels for Nano Banana 2 (Gemini 3.1 Flash Image Preview). APIYI platform offers $0.045/image including 4K with unlimited concurrency. Complete code examples and an online test entry are included. Nano Banana 2 ranks first on the Artificial Analysis text-to-image leaderboard, surpassing DALL-E, Midjourney, and FLUX. However, Google's…
Author's Note: Deep analysis of the Token consumption differences when setting Nano Banana 2's response_modalities to IMAGE-only output. Breaks down the billing rules for image/text/thinking Tokens and provides the optimal cost-saving configuration. When calling Nano Banana 2 for image generation, the response_modalities parameter has two settings: ["Text", "Image"] (default) and ["Image"] (image only). A natural…
Author's Note: This article analyzes Nano Banana 2's limitation of outputting only 1 image per request, explains why parameters like n and numberOfImages are ineffective, compares its multi-image generation capabilities with models like Seedream, and provides efficient solutions for batch image generation. Many developers, when calling the Nano Banana 2 API, try to include instructions…
Author's Note: A deep dive into the root cause of the 429 error in Nano Banana 2 (Gemini 3.1 Flash Image Preview), comparing the RPD/RPM/IPM limits of AI Studio and Vertex AI, and providing 5 strategies to overcome rate limiting. Constantly hitting the 429 RESOURCE_EXHAUSTED error when generating images with Nano Banana 2? You're not…
Author's Note: Deep Dive into GPT-5.4's 1M Context Window, the 272K Token Pricing Breakpoint That More Than Doubles Costs, the 127K-272K Optimal Performance Zone, Complete Price Comparison, and Cost-Saving Strategies GPT-5.4 boasts a massive 1.05 million token context window, but here's something many developers miss: prices double after 272K tokens, and accuracy starts to drop….
Author's Note: A deep analysis of why Claude Sonnet 4.6 is the most cost-effective model choice for OpenClaw, including a performance comparison with Opus 4.6 and a configuration tutorial for the APIYI proxy service using the anthropic-messages format. Choosing the right model for OpenClaw is the first critical decision every user faces. This article will…
Author's Note: A deep dive into GPT-5.4's native Computer Use capability, its 75.0% OSWorld score surpassing human experts, and how to combine it with the OpenClaw AI Agent framework for efficient automation. GPT-5.4 isn't just another model upgrade—it's OpenAI's first product to natively build computer usage capabilities into a general-purpose model. This means the AI…
Author's Note: An objective comparison of Claude Opus 4.6 and GPT-5.4 across 12 benchmarks, pricing, context windows, agent capabilities, and use cases to help developers make the right choice. February and March 2026 saw the arrival of two heavyweight flagship models in the AI space: Anthropic's Claude Opus 4.6 (February 5th) and OpenAI's GPT-5.4 (March…
