--- title: "Gemini 3.6 Flash and 3.5 Flash-Lite: pricing, speed, and benchmarks" description: "Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash, while 3.5 Flash-Lite reaches 350 tokens/s. Compare pricing, benchmarks, and the workloads that fit each model." author: "Carlos García" published: 2026-07-23 updated: 2026-07-23 language: en human_url: "https://kiia.cloud/blog/gemini-3-flash-guide/" --- > **In 60 seconds:** Google launched three Flash models on July 21, 2026. Gemini 3.6 Flash costs USD 1.50/1M input tokens and USD 7.50/1M output tokens, using 17% fewer tokens than 3.5 while improving quality. Gemini 3.5 Flash-Lite costs USD 0.30/1M input and USD 2.50/1M output, with throughput of 350 tokens/s. Gemini 3.5 Flash Cyber remains limited to governments and CodeMender pilots. Pick 3.6 Flash for coding, agentic, or multimodal workloads with built-in computer use. Pick Flash-Lite when throughput and latency drive the decision. Gemini 3.5 Pro is still in partner testing. On July 21, 2026, Google DeepMind released three Flash models aimed at production AI agents. They make different trade-offs between price, latency, and quality. The useful comparison is workload-specific: 3.6 Flash for broader capability, Flash-Lite for volume, and the existing 3.5 Flash when migration would cost more than it saves. ## What changed in 3.6 Flash The most useful metric from the Artificial Analysis Index is output-token usage. Gemini 3.6 Flash consumes **17% fewer tokens** than 3.5 Flash for the same task. In some DeepSWE configurations, the reduction reaches **65%**. That affects both the API bill and response time. **3.6 Flash pricing:** | Type | USD / 1M tokens | | --- | --- | | Input | 1.50 | | Output | 7.50 | Compared with 3.5 Flash before this release, 3.6 Flash is cheaper and scores higher. Teams should still test it on their own prompts before migrating production traffic. **Benchmarks where 3.6 Flash improves:** | Benchmark | 3.5 Flash | 3.6 Flash | Improvement | | --- | --- | --- | --- | | DeepSWE (Datacurve) | 37% | 49% | +12 pts | | MLE Bench | 49.7% | 63.9% | +14.2 pts | | OSWorld-Verified (computer use) | 78.4% | 83.0% | +4.6 pts | | GDPval-AA v2 | 1349 | 1421 | +72 | The 12-point DeepSWE improvement matters for agentic coding: fewer unwanted edits, fewer execution loops, and fewer total tokens to solve the same task. ## Computer use as built-in Gemini 3.6 Flash includes computer use as a built-in Gemini API tool. You can pass screenshots and request actions on graphical interfaces without building a separate wrapper. For cases like "test this UI flow" or "fill out this form with the user's data", you no longer need a separate integration with a vision model + an action parser. The same model decides what to do. ## 3.5 Flash-Lite for high-throughput work If your workload is **high volume + critical latency**, 3.5 Flash-Lite is the model from this release. Specs: | Spec | Value | | --- | --- | | Output throughput | 350 tokens/s | | Input price | USD 0.30 / 1M tokens | | Output price | USD 2.50 / 1M tokens | | Reasoning levels | minimal / low / high (configurable) | **Where Flash-Lite wins:** - **Agentic search at scale:** massive searches where response latency impacts UX - **Batch document processing:** classification, data extraction, validation - **Tier 1 customer support:** classification plus a first response where the latency SLA is critical - **High-volume classification:** moderation, routing, tagging In the published benchmarks, **3.5 Flash-Lite also beats 3 Flash in coding and agentic tasks**: | Benchmark | 3 Flash | 3.5 Flash-Lite | | --- | --- | --- | | SWE-Bench Pro | 49.6% | 54.2% | | OSWorld-Verified | 65.1% | 74.0% | | Terminal-Bench 2.1 | 31% | 54% | | GDPval-AA v2 | 642 | 1140 | If you have workloads on classic Flash, test Flash-Lite against them. It is cheaper and performs better in several of these benchmarks. ## 3.5 Flash Cyber: closed pilot Google also released **Gemini 3.5 Flash Cyber**, fine-tuned for finding and fixing code vulnerabilities, used as the base of the CodeMender agent. The twist: **it's not publicly accessible**. Only governments and trusted partners via CodeMender as part of a limited-access pilot program. Declared reason: the dual-use nature of the model (what serves defenders also serves attackers) requires controlled distribution. If you work in security and want access, the path is to contact the CodeMender team directly. ## 3.5 Pro: still in testing Google confirms that **3.5 Pro is in testing with partners** and they plan to make it broadly available when ready. Meanwhile, if your workload needs the most capable Gemini tier, today's option is Gemini 3 Pro (the previous version) or look outside the Google ecosystem. ## When to pick each one **Pick 3.6 Flash if:** - Your workload is agentic coding with sustained tool calling - You need multimodal (computer use, screenshots, charts) in production - You want the best cost/quality balance for knowledge work - Your product is an AI agent where every token counts **Pick 3.5 Flash-Lite if:** - High volume where cost per call is the main driver - Critical latency (UX where the user expects under 2 seconds for simple answers) - Simple tasks at scale (classification, extraction, routing) - Workloads where uptime SLA is priority **Stay with 3.5 Flash if:** - You already have deep integration in 3.5 Flash and the upgrade isn't justified by savings - Workloads where proven stability matters more than cutting edge **Pick Claude Haiku if:** - Your ecosystem is already in Anthropic and the switching cost is high - You need mature compliance (HIPAA, SOC2) that Anthropic already certified **Pick GPT-5.6 mini if:** - Your ecosystem is already in OpenAI - You need function calling with OpenAI-specific features ## Availability and detailed pricing **3.6 Flash** is available since July 21 in: - Gemini API via [Google AI Studio](https://aistudio.google.com/prompts/new_chat?model=gemini-3.6-flash) and Android Studio - Google Antigravity - Gemini Enterprise Agent Platform - Gemini Enterprise app **3.5 Flash-Lite** is available in the same channels + Google Search (rolling out). **Final pricing per model:** | Model | Input USD/1M | Output USD/1M | Throughput | | --- | --- | --- | --- | | Gemini 3.6 Flash | 1.50 | 7.50 | medium | | Gemini 3.5 Flash-Lite | 0.30 | 2.50 | 350 tok/s | | Gemini 3.5 Flash (previous) | more expensive | more expensive | medium | ## What this changes for LATAM teams 1. **USD pricing without regional variation.** Google doesn't charge differently by region for the Gemini API, so the cost is the same in Buenos Aires as in San Francisco. This levels the playing field against providers that do have differentiated regional pricing. 2. **Computer use for B2B products.** If your SaaS needs to automate UI flows (web forms, dashboards, ERPs), 3.6 Flash with computer use built-in lowers the entry barrier significantly. 3. **Flash-Lite throughput for support bots.** If you have a support chatbot with thousands of simultaneous conversations, Flash-Lite at 350 tokens/s changes the math of how many agents you can keep active. The practical migration path is small: replay a representative set of production requests against 3.6 Flash and Flash-Lite, then compare quality, latency, and total output tokens. The cheaper model only wins if it still clears your quality threshold. ## Frequently asked questions ### What is Gemini 3.6 Flash in one sentence? It's Google's general-purpose model for AI agent production: 17% less output tokens than 3.5 Flash on the Artificial Analysis Index, better quality in coding (DeepSWE 49% vs 37%) and more efficient multimodal. Price: USD 1.50/1M input, USD 7.50/1M output. It's a balanced option for agentic workflows where cost, latency, and quality all matter. ### How does it differ from Gemini 3.5 Flash? 3.6 Flash delivers more quality with fewer tokens: on the Artificial Analysis Index it consumes 17% less output tokens, in DeepSWE goes from 37% to 49%, in MLE Bench from 49.7% to 63.9%, in OSWorld-Verified from 78.4% to 83.0%. Computer use is now a built-in tool of the Gemini API. And it's cheaper: USD 1.50/1M input vs more expensive 3.5 Flash at the equivalent tier. ### What is Gemini 3.5 Flash-Lite and when to use it? It's the fastest and most economical model in the 3.5 series: 350 output tokens/s, USD 0.30/1M input and USD 2.50/1M output. Built for high-volume agentic search, document processing, and tasks where minimal latency is the requirement. Beats 3 Flash in coding (SWE-Bench Pro 54.2% vs 49.6%) and agentic (OSWorld 74.0% vs 65.1%). ### When does 3.6 Flash beat 3.5 Flash-Lite vs 3.5 Pro? 3.6 Flash for general workloads (coding, knowledge work, multimodal with sustained tool use). 3.5 Flash-Lite for high volume with critical latency (search agents, document processing batch, classification at scale). 3.5 Pro is still in testing with partners, so wait a few weeks if you can. ### How does it compare with Claude Haiku or GPT-5.6 mini? 3.6 Flash competes in the same segment as Claude Haiku and GPT mini but with more aggressive output pricing (USD 7.50/1M vs Haiku's more expensive) and computer use as built-in. 3.5 Flash-Lite is especially strong on throughput; 350 tokens/s is hard to match with Haiku. For agentic coding, the decision is usually Gemini 3.6 vs Claude Sonnet, not vs Haiku. ### Does it have safety improvements? Yes. 3.6 Flash ships with reinforced Frontier Safety safeguards in CBRN (Chemical, Biological, Radiological, Nuclear) domains and cyber offense misuses. The model is more resistant to jailbreaks but trained to minimize refusals for beneficial uses. Check the model card for edge cases.