Google Gemini 3.5 Flash vs GPT-5.5/5.6: The Great AI Model Showdown of 2026
Article summary
Quick briefing — cleaned from the original RSS feed
Image: AI neural network concept — Unsplash/Google DeepMind Short answer: Google Gemini 3.5 Flash dominates on speed and agentic workflow efficiency — 173 tokens per second at $1.50/$9 per million tokens, with a 10x cache discount floor that makes multi-step agent pipelines dramatically cheaper. OpenAI GPT-5.5 leads on raw reasoning depth with 82.7% on Terminal-Bench 2.1 and 58.6% on SWE-Bench Pro, but costs 3–5x more and runs at roughly one-third the speed. For autonomous agents and…
1Key Takeaways
- Image: AI neural network concept — Unsplash/Google DeepMind Short answer: Google Gemini 3.5 Flash dominates on speed and agentic workflow efficiency — 173 tokens per second at $1.50/$9 per million tokens, with a 10x cache discount floor that makes multi-step agent pipelines dramatically cheaper.
- OpenAI GPT-5.5 leads on raw reasoning depth with 82.7% on Terminal-Bench 2.1 and 58.6% on SWE-Bench Pro, but costs 3–5x more and runs at roughly one-third the speed.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that image: AI neural network concept — Unsplash/Google DeepMind Short answer: Google Gemini 3.5 Flash dominates on speed and agentic workflow efficiency — 173 tokens per second at $1.50/$9 per million tokens, with a 10x cache discount floor that makes multi-step agent pipelines dramatically cheaper.
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