Gemini 3.8 Flash
Google's high-performance multimodal model for long-horizon software engineering, autonomous agents, and complex enterprise workflows, with million-token context and broad tooling.
- Modalities
- Chat
- Starting price
- From $3.75 / 1M out
- Context
- 1.0M context
README
Supported Functionality
| Item | Specification |
|---|---|
| Input | Text, image, video, audio, PDF |
| Output | Text |
| Context | 1,048,576 tokens |
| Max Output | 65,536 tokens |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported |
Description
Gemini 3.8 Flash is a generally available, stable multimodal model updated by Google in September 2026 under the model code gemini-3.8-flash. It accepts text, image, video, audio, and PDF inputs, produces text, and provides a 1,048,576-token input window with up to 65,536 output tokens.
The model targets long-horizon software engineering, autonomous agents, and complex enterprise workflows, using smaller reasoning steps to call tools and verify intermediate results throughout a task. It supports low, medium, and high thinking levels with medium as the default, along with caching, code execution, File Search, function calling, Google Search and Maps grounding, structured output, and URL Context. Computer Use is in Preview; image generation, audio generation, and the Live API are not supported.
Key Capabilities
- Long-Horizon Software Engineering: Diagnoses issues, performs multi-file refactoring, runs tests, and iterates on large real-world repositories while maintaining task continuity.
- Autonomous Agents: Plans multi-step work, orchestrates functions and built-in tools, handles environmental feedback, and verifies intermediate outcomes.
- Native Multimodal Understanding: Analyzes text, images, video, audio, and PDFs together to synthesize evidence across media.
- Code Execution and Tool Use: Connects reasoning with code execution, file retrieval, custom functions, and external systems in verifiable loops.
- Complex Enterprise Workflows: Handles analysis, extraction, decision support, and automation across documents, systems, and large data pipelines.
- Grounding and External Information: Combines Google Search, Maps grounding, and URL Context for answers that require current web or location evidence.
- Structured and Adjustable Reasoning: Constrains responses with structured output and selects an appropriate thinking level for each task.
Technical Strengths
| Feature | Benefit |
|---|---|
| 1,048,576-Token Context | Keeps large repositories, long videos, multiple PDFs, and cross-system material within one task with less fragmentation. |
| 65,536-Token Maximum Output | Supports long analyses, multi-file change plans, and structured results spanning several execution stages. |
| Three Thinking Levels | low, medium, and high align reasoning depth with real-time interaction, general agents, and deep analysis; medium is the default. |
| Broad Built-In Tool Support | Code execution, File Search, Search, Maps, URL Context, and function calling can be composed into complete workflows. |
| Five Native Input Types | A single model understands text, images, video, audio, and PDFs for cross-media agents and document systems. |
| Stable Production Version | A fixed GA model code supports version locking, regression testing, continuous deployment, and Google's managed-agent workflows. |
Frequently Asked Questions
When should I use low, medium, or high thinking with Gemini 3.8 Flash?
Start with low for real-time answers, incident response, drafts, and fast analysis; use the default medium for complex coding and general agent work; evaluate high for mathematics, deep analysis, and difficult multi-step tasks. Compare first-pass completion, tool-call count, latency, and failure recovery on representative workloads.
Is Gemini 3.8 Flash suitable for long-horizon software engineering?
Yes. Google identifies long-horizon software engineering as a core focus, including complex multi-file refactoring, real-repository issue resolution, and deterministic tool execution; applications should still include tests, static checks, and code review in the agent's validation loop.
Which multimodal inputs and outputs does Gemini 3.8 Flash support?
It accepts text, images, video, audio, and PDFs, while its output type is text. It does not directly generate images or audio and does not support the Live API, so real-time voice and media-generation workloads require the appropriate specialized models.
How is Gemini 3.8 Flash related to Gemini 3.7 Flash?
Gemini 3.8 Flash is the current stable model, and Google has replaced Gemini 3.7 Flash with it while automatically routing 3.7 requests to 3.8. Existing applications should explicitly change the model code to gemini-3.8-flash and rerun function-calling and structured-output regression tests to avoid relying on future routing behavior.
Which request settings should change when migrating to Gemini 3.8 Flash?
Set the model code to gemini-3.8-flash, use thinking_level with low, medium, or high, and do not send the unsupported minimal value. Remove deprecated temperature, top_p, top_k, and candidate_count, keep the final user message non-empty, and retest function calling and multimodal payloads.
How do I call Gemini 3.8 Flash on LinkModel?
Gemini 3.8 Flash is available on LinkModel. Use the public model ID, request format, and parameters shown on LinkModel's live model page, then begin with a small text request to confirm authentication, response handling, and streaming before adding multimodal input and tools.
How should I validate the Gemini 3.8 Flash integration on LinkModel?
Confirm the public ID, context limits, multimodal inputs, thinking controls, and tool support on LinkModel's current model page, then test short text, long context, image or PDF input, structured output, and function calling separately. Computer Use remains a Google Preview capability, and Google-specific fields should not be assumed to pass through LinkModel unchanged; production validation should also cover timeouts, refusals, tool failures, and retries.
Pricing
Token-based pricing
Our pricing is based on image and text token usage. The final cost depends on the tokens consumed.
| Token Type | LinkAI Price | Official Price |
|---|---|---|
| Input | $0.75 / 1M tokens | $0.75 / 1M tokens |
| Cached input | $0.075 / 1M tokens | $0.075 / 1M tokens |
| Output | $3.75 / 1M tokens | $3.75 / 1M tokens |
| Reasoning output | $3.75 / 1M tokens | $3.75 / 1M tokens |