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DeepSeek vs Kimi API: Context, Multimodal, Reasoning Content Return, and Migration Configuration
This article compares the DeepSeek and Kimi (Moonshot) APIs in terms of model lineup, context length, multimodal support, thinking mode parameters, and multi-turn reasoning_content return. It first gives selection advice by task, then explains what needs to be handled separately when switching between the two with the same OpenAI-compatible code, and what to verify before going live.
DeepSeek V4 Flash API Integration Guide: Model Name Changes, Thinking Mode, and Truncation Troubleshooting
DeepSeek V4 Flash has been upgraded to V4.1-Flash with the recommended model name deepseek-flash, so this guide covers the model field, 1M context, 384K output, thinking mode conflicts with FIM, and how to verify the model isn't downgraded after migrating to an OpenAI-compatible endpoint.
API Relay Comparison: Direct Official API or Relay?
A practical guide with a weighted pricing formula and routing decision tree for comparing direct official API vs. relay services, based on DeepSeek peak/off-peak pricing, Together AI version deprecation, and OpenRouter guardrails.
How to Calculate Monthly Cost for Usage-Based AI APIs? A Scheduling Checklist Under Time-Based Pricing
Learn how to calculate monthly costs for usage-based AI APIs, accounting for cache hits, peak/off-peak pricing, and request scheduling to save up to 50% on your bill.
