Google Announces Gemini 3 Flash

ArticleTulsee DoshiAnnouncement

Google has launched Gemini 3 Flash, a cost-effective and high-speed model designed to bring Gemini 3 reasoning capabilities to latency-sensitive and high-frequency workflows.

Key points

  1. Gemini 3 Flash replaces Gemini 2.5 Flash as the default model across the Gemini consumer app and Search's AI Mode.
  2. It records benchmark scores of 90.4% on GPQA Diamond, 33.7% on Humanity's Last Exam (without tools), and 81.2% on MMMU Pro.
  3. On SWE-bench Verified, it scores 78%, outperforming both the Gemini 2.5 series and Gemini 3 Pro.
  4. According to Google, it is three times faster than Gemini 2.5 Pro while using on average 30% fewer tokens on routine tasks.
  5. API pricing is set at $0.50 per 1M input tokens and $3.00 per 1M output tokens, with audio input priced at $1.00 per 1M tokens.

Why it matters

Flash models make agentic development and complex multimodal reasoning practical for high-throughput, latency-critical production environments. Lower inference latency paired with competitive benchmark performance significantly reduces operating costs.

Analysis

By scoring higher than Gemini 3 Pro on SWE-bench Verified (78%), Gemini 3 Flash highlights how smaller, optimized models are closing the gap on complex software engineering benchmarks. Deploying it across Google AI Studio, Google Antigravity, Vertex AI, and end-user search indicates Google's strategy to standardise fast reasoning across both consumer and enterprise workflows.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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