HomeGoogle Launches Gemini 3.5 Flash, Its Strongest Model with Quadruple Speed
Artificial intelligence speed records keep falling. At today’s Google I/O 2026, Google unveiled its latest large model, Gemini 3.5 Flash. Billed as Google’s most capable agent and coding model to date, it approaches the intelligence of top‑tier flagship models while retaining the hallmark rapid response of the Flash series.
What excites the industry even more is that Google has made the model available to users worldwide for free. This move further lowers the barrier to adopting cutting‑edge AI, giving developers a more affordable computing option.
Outperforms Earlier Flagship Across Multiple Benchmarks
In official evaluations, Gemini 3.5 Flash delivered strong results across several agent and coding benchmarks, even surpassing the previous flagship Gemini 3.1 Pro. Notably, it achieved the highest score on the multimodal understanding test CharXiv Reasoning.
Beyond the leap in intelligence, the new model also impresses in operational efficiency. Data shows Gemini 3.5 Flash’s output exceeds 280 tokens per second — four times faster than GPT‑5.5 and Claude Opus 4.7.
Cuts Costs for Long‑Running Tasks
According to Google, the excellent balance between speed and performance makes Gemini 3.5 Flash especially suitable for long, complex agent tasks. In practical work, it can significantly reduce development time for relevant teams.
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Artificial intelligence speed records keep falling. At today’s Google I/O 2026, Google unveiled its latest large model, Gemini 3.5 Flash. Billed as Google’s most capable agent and coding model to date, it approaches the intelligence of top‑tier flagship models while retaining the hallmark rapid response of the Flash series.
What excites the industry even more is that Google has made the model available to users worldwide for free. This move further lowers the barrier to adopting cutting‑edge AI, giving developers a more affordable computing option.
Outperforms Earlier Flagship Across Multiple Benchmarks
In official evaluations, Gemini 3.5 Flash delivered strong results across several agent and coding benchmarks, even surpassing the previous flagship Gemini 3.1 Pro. Notably, it achieved the highest score on the multimodal understanding test CharXiv Reasoning.
Beyond the leap in intelligence, the new model also impresses in operational efficiency. Data shows Gemini 3.5 Flash’s output exceeds 280 tokens per second — four times faster than GPT‑5.5 and Claude Opus 4.7.
Cuts Costs for Long‑Running Tasks
According to Google, the excellent balance between speed and performance makes Gemini 3.5 Flash especially suitable for long, complex agent tasks. In practical work, it can significantly reduce development time for relevant teams.
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In 2025, as Sara Du assisted companies in developing MCP servers, a recurring question emerged: how could teams leverage AI agents directly within Slack? The path was obstructed by significant technical barriers, including the complexity of message s
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Before joining Sequoia Capital in 2020 as chief digital and information officer, Avon Puri spent over a decade running infrastructure at Rubrik and VMware. Three years ago, as large language models began showing their true potential, Puri, alongside
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