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In this video, we will look at the Gemini 2.5 Flash which is the first Hybrid Reasoning model where you can literally toggle “thinking” on or off. I break down its insane cost‑performance ratio, 1 M‑token context window, and how it stacks up against GPT‑4 Mini and Claude Sonnet.
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In this episode, we explore Google’s release of the Gemini 2.5 Flash, a groundbreaking hybrid reasoning model. This model allows developers to toggle the ‘thinking’ mode and set a token-based thinking budget, making it versatile for different tasks. Notably, Gemini 2.5 Flash offers highly competitive pricing and outstanding performance-to-cost ratios compared to other models like OpenAI’s 3.5 Sonnet and 4 Mini. We’ll also discuss the model’s benchmarks, features, and potential impact on AI development, ensuring you have all the details to make an informed choice.
00:00 Introduction to Google’s Gemini 2.5 Flash
00:04 Hybrid Reasoning Model: A New Feature
00:41 Competitive Pricing and Market Position
01:16 Benchmark Performance and Comparisons
02:17 Google’s Strategy: Performance to Cost Ratio
05:14 Fine-Grained Control Over Thinking Mode
09:51 Testing the Model: Practical Examples
12:37 Conclusion and Final Thoughts Read More Prompt Engineering
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