Google: Gemini 3.5 Flash
google/gemini-3.5-flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.
- Context window: 1,048,576 tokens
- Input: text, image, video, file, audio
- Output: text
- Pricing: $1.5/M input tokens, $9/M output tokens
Community sentiment
Mixed (+11) — 4 positive, 4 negative, 4 neutral across 12 community samples from X and the web, as of 2026-10-17.
Coverage of Gemini 3.5 Flash is mixed: reviewers and docs praise its speed and capability, while developers and users report availability/version-swapping issues and concerns about token/cost efficiency. Praise focuses on low latency and strong outputs; complaints center on being replaced/unavailable and higher token consumption versus alternatives.
- “Gemini 3.5 Flash Is Impressive. Here's What We Actually Found. — # Gemini 3.5 Flash Is Impressive. Here's What We Actually Found. ### Built for Speed: ~10ms Latency, Even Under Load There's an unwritten rule in AI model releases: Pro is smart, Flash is fast, and you pick your tra” — the web
- “Findings: Gemini 3.5 Flash nearly matched GPT 5.5 on score while burning 1.65 billion tokens and costing 620 dollars against 136 million tokens and 497 dollars.” — X
- “Apps calling gemini-3.5-flash in the Gemini API are reportedly now getting gemini-3.6-flash instead. Until now, gemini-3.5-flash was a model developers could call in the Gemini API. https://t.co/9xFwY7KmpJ” — X
- “@TJeparskis Gemini 3.5 Flash answers it correctly. https://t.co/HT1PTKCtcY” — X
RuntimeWire coverage
View on OpenRouter. Model data sourced from OpenRouter.