# Google shipped three cheap Gemini models and a Mythos rival, but not the one that matters > Source: > Published: 2026-07-21 16:29:17+00:00 Google’s answer to a summer of being outrun is not a bigger model. It is cheaper ones. On Tuesday the company [launched](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/) three new Gemini models, all at its fast, low-cost “Flash” tier, a day before Alphabet reports earnings. The message is efficiency over raw power. The catch is what is still missing. ## Cheap, fast, and everywhere but the top The workhorse is Gemini 3.6 Flash. Google says it does better coding and knowledge work than its predecessor while using about 17% fewer output tokens, and it costs less. That is $7.50 per million output tokens, down from $9. Its knowledge now runs to March 2026. Alongside it sits 3.5 Flash-Lite, the fastest of the family at 350 tokens a second, and cheaper still. Both lean into one bet: that most AI work does not need a frontier brain, just a quick, affordable one. That bet has a champion. “Companies are already blowing through their annual token budgets, and it’s only May,” chief executive Sundar Pichai said earlier this year. A mix of Flash models, he [told Business Insider](https://www.businessinsider.com/google-gemini-35-pro-flash-cyber-lite-speed-token-price-2026-7), could save firms over $1 billion a year. ## A cheaper shot at Mythos The most pointed release is Gemini 3.5 Flash Cyber. It is tuned to find and patch software vulnerabilities, running inside Google’s CodeMender agent. Google calls it a “cost-efficient” alternative to large security models. The unnamed target is [Anthropic’s Mythos](https://thenextweb.com/news/osfi-canada-banks-claude-mythos-warning), which costs $10 per million input tokens and $50 per million output, as [The Verge](https://www.theverge.com/tech/968572/google-gemini-flash-cyber-ai-security-model) notes. Google claims Flash Cyber matches frontier performance on a key benchmark at a fraction of the price, a direct swipe at Anthropic’s lead in [AI-driven security](https://thenextweb.com/news/microsoft-patch-tuesday-record-ai-found-flaws). Because a bug-finder also helps attackers, Google is keeping it on a leash. Flash Cyber goes only to governments and trusted partners, in a limited pilot. ## The model they did not ship Then there is the absence. Gemini 3.5 Pro, the flagship Google promised for June, is [still in testing](https://thenextweb.com/news/google-gemini-pro-delayed-coding-falls-short), reportedly held back after falling short on coding. Google has no model in the public top ten. The timing stings. In roughly a week, xAI’s Grok 4.5, three versions of OpenAI’s GPT-5.6, and Moonshot’s [Kimi K3](https://thenextweb.com/news/moonshot-kimi-k3-largest-open-model) all shipped. Anthropic’s Fable 5, meanwhile, sits atop the leaderboards, as [Reuters](https://www.reuters.com/business/google-updates-lightweight-gemini-models-flagship-still-delayed-2026-07-21/) reported. ## Gemini 4, on paper Google’s reply is to point further ahead. It says it has begun its “most ambitious pre-training run yet” for Gemini 4. That is a statement of intent, not a shipped capability. The efficiency drive runs deeper than software. Google is also building a [custom chip](https://thenextweb.com/news/google-frozen-chip-gemini-silicon) to serve Gemini far more cheaply. One caveat is worth keeping, though: every benchmark here is Google’s own, and no outsider has checked them yet. ## The bet The plan is coherent. In a year when companies are counting tokens, cheap and fast can win the middle of the market while the flagship catches up. Whether it holds rests on two things: 3.5 Pro finally shipping, and Gemini 4 turning out to be more than a training run. ## Get the TNW newsletter Get the most important tech news in your inbox each week.