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Which Flash To Run — Testing the Cost and Capabilities of Five Cheap Models

In a nutshell: Five affordable models without a overall champion - the daily mainstay with zero marginal cost is baicodex (qwen3.8-flash), the most cost-effective and agentic four-axis all-first is opzcode (GLM-5.3-Flash), and deepcode is only considered when WebSearch is needed or speed is required. The rest of the differences are not in the price, but in the prerequisites for expiration date, invisible thinking, and permissions. 2026-08-27 live test, the main focus is on five affordable options: three Flash options (Qwen3.8-Flash, GLM-5.3-Flash, DeepSeek V4 Flash Vision-Exp), Muse Spark 1.2 contributor, and Dots3-Note preview:free. Let's start with the conclusion, then go through the bill and numbers. Conclusion: Choose according to "what you need to do now".

Translated from Chinese Read in Chinese

A recent test compared five affordable AI models: baicodex (qwen3.8-flash), opzcode (GLM-5.3-Flash), deepcode (DeepSeek V4 Flash Vision-Exp), Muse Spark 1.2 contributor, and Dots3-Note preview:free. The test found that there is no single champion model, and the best choice depends on the specific use case. Baicodex offers zero marginal cost for daily use, while opzcode provides the best value for large volumes of work and agentic performance. Deepcode is the fastest and the only one that supports web search.

Written by urgent.news from Dev.to's report — not a translation of it. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

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GPT-5.6 Sol vs Terra vs Luna: A Cost-Aware Router in Python

The useful question about GPT-5.6 is not “Which model is best?” It is “Which part of this workflow actually needs Sol?” OpenAI now positions the family in three tiers: Model API ID Input / 1M tokens…

  • GPT-5.6 models have Sol, Terra, and Luna tiers with different pricing.
  • Sol tier costs $4.00 per 1M input/output tokens, Terra $2.00/$12.00, Luna $0.20/$1.20.
  • Task attributes like ambiguity and review need determine model selection.

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