Gemini 3.5 Flash
Google's I/O 2026 headliner — a Flash-tier model that beats Gemini 3.1 Pro on agentic and coding benchmarks while running roughly 4x faster than comparable frontier models.
Best Gemini for agents — efficiency king with native computer use.
Cost-efficient long-horizon agents and computer use
You need raw frontier reasoning ceiling — Claude Opus 5 and GPT-5.6 Sol lead the hardest tasks.
Compare every model's knowledge cutoff, max output, and context window.
Released July 21, 2026 alongside 3.5 Flash-Lite and the gated 3.5 Flash Cyber. Knowledge cutoff March 2026. Batch $0.75/$3.75; cached input $0.15/1M.
Beats 3.5 Flash across the board: DeepSWE 49% vs 37%, MLE Bench 63.9% vs 49.7%, OSWorld-Verified 83.0% vs 78.4%
~17% fewer output tokens plus $7.50/1M output — compounds into materially cheaper agent runs
~280–304 tokens/sec with computer use built in as a native tool
Point release, not a generational leap — Gemini 4 is teased but unreleased
Google's own lineup tops out at Flash tier for this generation; no 3.5/3.6 Pro exists
What people actually use Gemini 3.6 Flash for.
Long-horizon engineering agents — DeepSWE 49% with up to 65% token reduction on long tasks
Native computer-use automation (83.0% OSWorld-Verified)
High-throughput multimodal work with video, audio, and PDF ingestion
The nearest models people weigh against it, and what actually separates them.
vs Gemini 3.5 Flash — Against Gemini 3.5 Flash (Google), Gemini 3.6 Flash runs about 57% cheaper per token. Take Gemini 3.6 Flash unless you specifically need what Gemini 3.5 Flash does better.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), Gemini 3.6 Flash runs about 93% cheaper per token, gives up 1x on context and answers faster. Take Gemini 3.6 Flash unless you specifically need what GPT-6 Astra does better.
vs Claude Fable 5.1 — Against Claude Fable 5.1 (Anthropic), Gemini 3.6 Flash runs about 93% cheaper per token, takes 1x the context and answers faster. Take Gemini 3.6 Flash unless you specifically need what Claude Fable 5.1 does better.
Price History
→0% since Aug 7
25 data points · tracked daily since Aug 7, 2026
Cost-efficient long-horizon agents and computer use. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Similar models worth checking before you commit.
Google's I/O 2026 headliner — a Flash-tier model that beats Gemini 3.1 Pro on agentic and coding benchmarks while running roughly 4x faster than comparable frontier models.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens on the API, with cached input at $0.075 per million. A month of 10M input and 2M output tokens runs about $15.00 at list price, before any batch or caching discounts.
Gemini 3.6 Flash has a 1M tokens context window, with up to 64k tokens of output per response. That is the total of prompt plus response the model can hold in one request.
Gemini 3.6 Flash's training data runs through March 2026, and the model was released on July 21, 2026. For anything after that date it needs web search or documents in the prompt.
Gemini 3.6 Flash is best for cost-efficient long-horizon agents and computer use. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and fast speed.
You need raw frontier reasoning ceiling — Claude Opus 5 and GPT-5.6 Sol lead the hardest tasks.
Grok 4.5 (xAI) at $2.00/1M/1M input against Gemini 3.6 Flash's $0.75/1M/1M. Best cost-per-solved-task coding agent — efficiency over ceiling. Compare it first if Gemini 3.6 Flash's pricing is the thing stopping you.
Gemini 3.5 Flash — fast against Gemini 3.6 Flash's fast, with 1.0M tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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