3.8 Flash
Best for tackling complex agentic tasks at scale
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Gemini
Frontier intelligence with action
Gemini 3.8 Flash
Best for tackling complex agentic tasks at scale
Gemini 3.5 Flash-Lite
Best for high-volume tasks that need efficiency and intelligence
3.5 Pro coming soon
Gemini 3.1 Pro
Best for complex tasks and bringing creative concepts to life
Gemini 3.1 Deep Think
Best for modern challenges across science, research and engineering
Explore the latest
Introducing our latest series of models combining frontier intelligence with action. Build more capable, intelligent agents efficiently.
Models
Completing everyday tasks, or solving your most challenging problems. Discover the right model for what you need
3.5 Flash-Lite
Best for high-volume tasks that need efficiency and intelligence
3.1 Pro
Best for complex tasks and bringing creative concepts to life
Capabilities
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Agentic coding
Tackle complex, development tasks with advanced reasoning at speed.
Advanced multimodal understanding
Transform text, images, video and audio into rich interactive user interfaces.
Long horizon tasks
Execute sophisticated workflows over extended timeframes.
Multi-step problem-solving
Leverage advanced tools to solve demanding, real-world problems.
Performance
| Benchmark | Notes | Gemini 3.8 Flash | Gemini 3.7 Flash | Claude Opus 5 | Claude Sonnet 5 | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|---|---|---|---|---|
| Input price $/1M tokens, no caching | $0.75($1.50 regular) | $0.75($1.50 regular) | $5.00 | $2.00 | $4.00 | $2.00 | |
| Output price $/1M tokens | $3.75($7.50 regular) | $3.75($7.50 regular) | $25.00 | $10.00 | $20.00 | $12.00 | |
| DeepSWE v1.1 Long-horizon software engineering | 73.7% | 65.3% | 74.0% | 53.8% | 72.7% | 69.6% | |
| GDPVal-AA v2 Knowledge work | Elo | 1545 | 1482 | 1824 | 1584 | 1710 | 1528 |
| Vals Finance Agent v2 Financial analyst tasks | 61.4% | 59.0% | 58.6% | 53.9% | 53.8% | 54.4% | |
| Harvey's Legal Agent Benchmark Complex legal workflows | All pass rate | 10.0% | 8.8% | 6.7% | 5.0% | 2.5% | 0.8% |
| Terminal-bench 2.1 Agentic terminal coding | 89.4% | 85.8% | 89.1% | 80.4% | 88.8% | 87.4% | |
| Terminal-bench 4.0 General agent capabilities | 19.1% | 11.2% | 51.8% | 12.4% | 37.3% | 23.6% | |
| GDP.PDF Expert PDF document comprehension | All pass rate | 35.0% | 34.0% | 37.0% | 28.0% | 40.0% | 29.0% |
| CharXiv Reasoning Information synthesis from complex charts | No tools | 86.2% | 84.5% | 83.7% | 70.1% | 85.8% | 85.9% |
| LVBench Long video understanding | 87.8%(agentic) | 85.4% | 75.4% | 68.5% | 82.1% | 78.9% | |
| 87.1%(static) | |||||||
| HLE-Verified Multidisciplinary expert reasoning | 54.9% | 53.6% | 54.4% | 31.0% | 54.5% | 51.1% | |
| OSWorld-2.0 Agentic computer use | Partial score batch tool enabled | 59.0% | 50.6% | 75.4% | 42.6% | 62.6% | 50.2% |
| BioMysteryBench Bioinformatics research workflows | Human Solvable | 88.8% | 87.1% | 90.1% | 87.5% | 79.5% | 83.8% |
| Human Difficult | 56.5% | 43.5% | 49.4% | 34.1% | 44.7% | 49.4% | |
| LABBench2 Biology real-world research tasks | 86.2% | 82.1% | 84.2% | 80.1% | 82.1% | 81.2% |
Methodology: deepmind.google/models/evals-methodology/gemini-3-8-flash
* For 3.7 and 3.8 Flash, introductory price expires on December 31, 2026. Starting January 1, 2027, $1.50/1M input tokens and $7.50/1M output tokens will apply.
Hands-on
Explore what you can do with Gemini 3.8 Flash and Gemini 3.5 Flash-Lite
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Chromancers Game
Gemini 3.8 Flash built this game with a simple prompt using a looping instruction in Google Antigravity. The game uses puzzles, environmental storytelling, and textures generated with Nano Banana to create an immersive 3D level in which you play a wizard navigating a castle.
DOS Google Maps
Gemini 3.8 Flash builds a fully functional DOS version of Google Maps in a single prompt in Google Antigravity that is fully playable with locations, directions, and Street View.
Topography
Explore realtime cross-sections, 2D projections, scientific explanations in a topographic map of famous geographical sites built with Gemini 3.8 Flash in Google Antigravity using real datasets from the U.S. Geological Survey and Openweather.
Hardware Anatomy
An interactive 3D visualizer built with Gemini 3.8 Flash in Google AI Studio that generates realistic Three.js renderings of physically-proportioned teardowns for hardware devices. It automatically decomposes devices into layers you can explode and inspect with a deconstruction slider.
3D game built in Google Antigravity
From a simple text prompt to a fully playable 3D game. We used Gemini 3.7 Flash combined with Nano Banana to dynamically generate characters, items, and textures in real-time.
3.5 Flash-Lite vs. 3.5 Flash latency
3.5 Flash-Lite executes high volume tasks at a lower latency than 3.5 Flash.
One prompt, 25 web design options
Working alongside 3.6 Flash as the master agent, 3.5 Flash-Lite instantly generates 25 unique, ready-to-explore web design concepts.
Receipt analysis and translation at scale
3.5 Flash-Lite can scale receipt translation and summarization with its multimodal understanding.
Rapid game development
3.5 Flash-Lite builds a game by instantly generating and iterating through multiple options.
Showcase
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“At Loopit, we’re integrating Gemini 3.8 Flash into our AI game creation agent for coding, asset reasoning, and rapid visual validation. What stands out is how well-rounded it is. We see strong performance across these tasks, impressive speed, and consistently polished game visuals, helping creators to iterate in real time and turn ideas into playable games faster.”
Haoyuan Guo, CTO, Loopit
“Gemini 3.8 Flash excels at long-running, document-heavy workflows, completing more than three times as many tasks as Gemini 3.7 Flash in our evaluations. We're excited to bring its sustained reasoning capabilities to Glean customers who need to turn complex requests into finished artifacts.”
Thai Tran, AI Product Lead, Glean
“We’re excited by how well the new Gemini Flash model understands motion across time. For Cartwheel, that means more than recognizing what’s in a frame—it means following an action and reasoning about whether the motion is actually useful. We saw promising results on both fronts.”
Andrew Carr, CoFounder and Chief Scientist, Cartwheel
“Gemini 3.7 Flash is a significant improvement over prior Flash models on legal work. Based on our early testing, the model lifts all-pass by 2.6 pts compared to Gemini 3.6 Flash on Legal Agent Bench, with broad gains in quality across practice areas.”
Niko Grupen, Head of Applied Research, Harvey
“The new Gemini Flash model delivered Opus-level grounding performance, nearly matching information recall with materially higher precision. Combined with faster and more token-efficient outcomes, it makes for a very intriguing model.”
Adithya Ramanathan, Head of Agent Development & Research, Hebbia