ModelFoldgemini-3-8-flash
Gemini 3.8 Flash is a Google AI model built for advanced coding, agentic workflows, and complex multi-step reasoning. It offers strong software engineering, tool use, and specialized reasoning capabilities while maintaining the speed and cost efficiency of the Flash family.
Pricing: Input 56.25 credits / 1M tokens (≈ $0.28), Output 281.25 credits / 1M tokens (≈ $1.41).
How can I help you today?
Explore more Chat models
More AI models from Google
Latest and popular AI models
Gemini 3.8 Flash API for Advanced Coding and AI Agents
Build coding agents and complex AI workflows with Gemini 3.8 Flash API on ModelFold. Get advanced reasoning, long-horizon coding, and agentic capabilities through one easy-to-integrate API.
Key Features of Gemini 3.8 Flash API on ModelFold
Advanced Coding with Google Gemini 3.8 Flash API
Build more capable coding tools with Google Gemini 3.8 Flash API. The model improves software engineering, complex code generation, debugging, and codebase reasoning, with strong performance on long-horizon development tasks. It can work through multi-step engineering problems from planning to implementation, making Gemini 3.8 Flash a strong choice for AI coding agents and developer tools.
Gemini 3.8 Flash for Long-Horizon Agentic Workflows
Handle tasks that require more than a single prompt and response. Gemini 3.8 Flash can reason across multiple steps, work through long-running tasks, and refine its approach as a problem develops. These capabilities make the Gemini 3.8 Flash API well suited for autonomous agents, research workflows, and complex SaaS automation.
Iterative Tool Calling with Gemini 3.8 Flash API
Create AI agents that can plan, act, evaluate results, and continue working toward a goal. On complex tasks, Gemini 3.8 Flash API can perform additional reasoning steps and call tools iteratively to improve its results. This gives developers a stronger foundation for building tool-using agents and automated multi-step workflows.
Gemini 3.8 Flash Reasoning for Finance, Legal, and STEM
Apply Gemini 3.8 Flash to knowledge-intensive tasks across finance, legal, STEM, research, and other professional fields. Its stronger multi-step reasoning helps applications analyze complex information, solve specialized problems, and produce detailed results, making the Gemini API useful for professional AI assistants and vertical SaaS products.
Flexible Reasoning Effort with Google Gemini 3.8 Flash
Balance model performance and token usage based on your workload. Google Gemini 3.8 Flash can apply greater reasoning effort to difficult problems, while lower effort levels help reduce token overhead when efficiency matters more. This flexibility lets developers tune the Gemini 3.8 Flash API for different tasks, budgets, and production requirements.
Fast, Cost-Efficient Gemini API for Production Apps
Get stronger reasoning and coding while keeping the speed and low-cost advantages of the Flash family. Gemini 3.8 Flash API is built for developers who need advanced AI capabilities without relying on higher-cost frontier models for every request. Use it to power scalable AI agents, coding products, and SaaS applications while keeping production costs under control.
Gemini 3.8 Benchmark and Performance
Gemini 3.8 Flash Coding Benchmark on DeepSWE v1.1
Gemini 3.8 Flash shows strong long-horizon coding performance on DeepSWE v1.1, a benchmark focused on solving complex software engineering tasks end to end. It outperforms most larger frontier models in this evaluation, highlighting the model's ability to plan, reason, and execute across extended coding workflows.
Gemini 3.8 Flash Reasoning Benchmark on HLE-Verified
For advanced reasoning, Gemini 3.8 Flash scores 54.9% on HLE-Verified. The benchmark evaluates difficult multi-step problems across STEM, humanities, and professional knowledge. This result demonstrates the stronger reasoning behind the Gemini 3.8 Flash API, especially for tasks that require deeper analysis rather than simple responses.
Gemini 3.8 Benchmark for Finance and Legal AI
Gemini 3.8 Flash also improves performance on professional agent benchmarks, including Vals Finance Agent V2 and Harvey's Legal Agent Benchmark. These Gemini 3.8 benchmark results show stronger performance than Gemini 3.7 Flash across specialized finance and legal tasks, making the model a strong fit for research, analysis, and knowledge-intensive AI workflows.
How to Use Gemini 3.8 Flash API on ModelFold
- 1
Step 1: Create Your ModelFold Account
Sign up for ModelFold and access the developer platform. New users can get free credits to explore Gemini 3.8 Flash and other available AI models before moving to larger workloads.
- 2
Step 2: Try Gemini 3.8 Flash Free in the Playground
Open the ModelFold Playground and select Gemini 3.8 Flash. Enter a prompt to test coding, reasoning, or agentic tasks directly online with no API setup required. Free credits let new users evaluate Gemini 3.8 Flash before integrating it into an application.
- 3
Step 3: Get Your Gemini 3.8 Flash API Key
Create your API key from the ModelFold dashboard when you are ready to integrate. Use the same key to access the Gemini 3.8 Flash API and other supported models through ModelFold.
- ✓
Step 4: Integrate Gemini 3.8 Flash API into Your App
Follow the API documentation to connect Google Gemini 3.8 Flash API to your product. Start sending requests for coding agents, AI assistants, research tools, or SaaS workflows, then scale your usage as your application grows.
Google Gemini 3.8 Flash vs 3.7 Flash
Gemini 3.8 Flash shows higher benchmark results across coding, reasoning, and agentic tasks, while Gemini 3.7 Flash remains focused on efficient workloads. Both models are available on ModelFold, so developers can choose based on their application needs.
| Capability | Gemini 3.8 Flash | Gemini 3.7 Flash |
|---|---|---|
| Typical Workloads | Long-horizon coding, agentic tasks, complex reasoning | Coding, agentic tasks, efficiency-focused workloads |
| DeepSWE v1.1 | 73.7% | 65.3% |
| Vals Finance Agent v2 | 61.4% | 59.0% |
| HLE-Verified | 54.9% | 53.6% |
| OSWorld-2.0 | 59.0% | 50.6% |
| Reasoning Behavior | More reasoning steps on complex tasks | Lower reasoning overhead |
| Tool Use | More iterative tool calling | Efficiency-oriented tool use |
Why Choose ModelFold for Gemini 3.8 Flash API
Access Multiple Gemini APIs Through One API
Connect to Gemini 3.8 Flash API and other Gemini models through one unified API. ModelFold lets developers test and switch between different Gemini APIs without rebuilding their integration, making it easier to match each model to different coding, reasoning, and agentic workloads.
Try Gemini 3.8 Flash Free with New User Credits
Explore Gemini 3.8 Flash free with credits available to new ModelFold users. Test prompts, compare outputs, and evaluate the Google Gemini 3.8 Flash API before scaling your usage. It is a simple way to see how the model fits your application with a lower upfront cost.
Affordable Gemini 3.8 Flash API Pricing
Balance performance, speed, and cost with flexible Gemini 3.8 Flash API pricing on ModelFold. Choose the usage level that fits your workload and scale as demand grows. This flexible approach helps developers use the Gemini API for prototypes, growing SaaS products, and production AI applications without unnecessary costs.
Easy Gemini API Integration with Clear Documentation
Integrate the Gemini 3.8 Flash API into your application with a straightforward API workflow and clear developer documentation. ModelFold helps developers move from testing to production faster, whether you are building an AI agent, coding assistant, automation tool, or SaaS product.
Access the Latest Google Gemini API Models
Keep your AI stack ready for new model releases. ModelFold continuously expands its model library with the latest Gemini API options, giving developers easier access to new Google Gemini models and capabilities through the same integration instead of rebuilding their API stack for every update.
Developer Support for Your Gemini 3.8 Flash API
Get reliable support when integrating or scaling the Gemini 3.8 Flash API on ModelFold. From API setup and model access to billing and integration questions, our support team helps developers resolve issues and keep their Gemini API workflows running smoothly.
What Can You Build with Gemini 3.8 Flash API
Build Coding Agents with Gemini 3.8 Flash API
Create AI coding agents that generate code, debug issues, reason across codebases, and handle multi-step software engineering tasks. Gemini 3.8 Flash API is well suited for developer tools that need to work across longer and more complex coding workflows.
Build Coding Agents with Gemini 3.8 Flash API
Create AI coding agents that generate code, debug issues, reason across codebases, and handle multi-step software engineering tasks. Gemini 3.8 Flash API is well suited for developer tools that need to work across longer and more complex coding workflows.
Create Autonomous Agents with Google Gemini 3.8 Flash
Build research agents, workflow assistants, and other autonomous systems with Google Gemini 3.8 Flash. The model can reason through multiple steps and use tools iteratively to plan, execute, evaluate, and continue complex tasks.
Build Finance and Legal Apps with Gemini 3.8 Flash API
Bring the reasoning capabilities of Gemini 3.8 Flash API to finance and legal applications. Create tools for professional analysis, document reasoning, research, reporting, and other specialized workflows that require multi-step reasoning.
Power Developer Tools and SaaS with Gemini API
Integrate the Gemini API into AI IDEs, coding assistants, automation platforms, and vertical SaaS products. Developers can use Gemini 3.8 Flash to add coding, reasoning, and agentic capabilities to existing applications.
Create Interactive Apps with Google Gemini 3.8 Flash API
Use Google Gemini 3.8 Flash API to create interactive experiences, data visualizations, 3D applications, and other generative tools. Its coding and reasoning capabilities can support applications that combine complex logic, data, and interactive interfaces.
Frequently Asked Questions
What is Gemini 3.8 Flash?⌄
Gemini 3.8 Flash is Google’s AI model built for advanced coding, agentic workflows, and complex multi-step reasoning. It improves on Gemini 3.7 Flash across software engineering, autonomous tasks, and specialized reasoning while maintaining the speed and cost efficiency of the Flash model family.
How can I access Gemini 3.8 Flash API on ModelFold?⌄
You can access Gemini 3.8 Flash API on ModelFold by creating an account and getting an API key. ModelFold provides access to Gemini 3.8 Flash and other Gemini models through the same API platform.
Can I try Gemini 3.8 Flash free on ModelFold?⌄
Yes. New ModelFold users can use free credits to try Gemini 3.8 Flash free in the Playground before integrating the API. This lets you test prompts and model outputs without setting up an API workflow first.
Is Gemini 3.8 Flash better than Gemini 3.7 Flash?⌄
Gemini 3.8 Flash achieves higher results than Gemini 3.7 Flash across several coding, reasoning, and agentic benchmarks. Google also notes that 3.8 Flash may use more reasoning steps on complex tasks, while 3.7 Flash remains available for efficiency-focused workloads.
What are the Gemini 3.8 benchmark results?⌄
Gemini 3.8 benchmark results include 73.7% on DeepSWE v1.1 for long-horizon software engineering and 54.9% on HLE-Verified for complex reasoning. It also shows improvements across finance, legal, and agentic evaluations.
What is the difference between Gemini 3.8 Flash and Gemini 3.8 Flash Cyber?⌄
Gemini 3.8 Flash is the general-purpose model for coding, reasoning, and agentic applications. Gemini 3.8 Flash Cyber is a specialized cybersecurity variant designed for tasks such as vulnerability discovery and automated patching, with access limited to trusted defenders through Google’s Fairwind Program.
Can I access multiple Gemini API models through ModelFold?⌄
Yes. ModelFold provides access to Gemini 3.8 Flash API and other supported Gemini API models through one platform. Developers can choose different models for different workloads without building a separate integration for each one.
| Input | 56.25 credits 1M tokens≈ $0.28 |
| Output | 281.25 credits 1M tokens≈ $1.41 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →curl https://ai.modelfold.online/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemini-3-8-flash","messages":[{"role":"user","content":"Hello"}]}'