Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency, lightweight multimodal workhorse model. Engineered for high-throughput, low-latency agentic workflows, code generation, and multimodal understanding, it features a 1M token context window. Natively processing text, image, video, audio, and document inputs, it delivers exceptional inference speed and cost-efficiency alongside strong tool-use and multilingual capabilities—ideal for enterprise API integrations and real-time interactive applications.
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Gemini 3.8 Flash
Gemini 3.8 Flash is Google's most intelligent Flash-tier model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows. Featuring a 1M-token context window and up to 64k output tokens, it introduces tunable reasoning levels (Low, Medium, High) to balance output latency and execution depth. Built for resilient multi-step planning, deterministic tool orchestration, and complex multi-file code refactoring, Gemini 3.8 Flash minimizes iterative execution errors—powering autonomous AI agents, enterprise data pipelines, technical software refactoring, and high-concurrency API deployment.
Gemini 3.7 Flash
Gemini 3.7 Flash is Google's flagship high-efficiency workhorse model engineered for autonomous agentic workflows and native multimodal reasoning. Built on enhanced core algorithmic foundations, it delivers ultra-low latency inference alongside robust multi-step tool execution, adaptive task planning, and end-to-end software engineering. Operating at $0.75 per million input tokens, Gemini 3.7 Flash powers enterprise agent orchestration, low-latency conversational interactive applications, real-time code generation, and high-volume data processing pipelines.
Gemini Omni Flash Text-to-Video
Gemini Omni Flash Text-to-Video is Google DeepMind's flagship unified multimodal model under the Gemini Omni series. Integrating Gemini's advanced reasoning with Veo's video generation capability, it enables native "any-to-any" generation, producing high-quality 24 FPS videos with synchronized audio directly from text prompts. It supports 16:9 and 9:16 aspect ratios, 3–10s video duration, and up to 1080P/4K supersampled output. Featuring multi-turn conversational video editing with context retention and built-in SynthID digital watermarking, it is ideal for short-form video creation, commercial ads, film VFX, and multimodal Agent workflows.
Gemini Omni Flash Image-to-Video
Gemini Omni Flash Image-to-Video is a next-generation multimodal video generation model developed by Google DeepMind. Built on a native Omni architecture, it accurately parses text prompts and input image semantics to produce cinematic 24 FPS dynamic videos. Supporting 16:9 and 9:16 aspect ratios, it generates 3–10 second fluid clips per run (featuring native support for up to 4K super-sampled upscaling, with 720P currently available on select platform endpoints). With exceptional subject consistency, physical simulation, and camera control, it excels in short-form drama, commercial advertising, film VFX, and social media animation.
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Gemini 3.5 Flash API
Gemini 3.5 Flash is a multimodal large language model released by Google on May 19, 2026, as a member of the Gemini Flash series. It supports four input modalities — text, image, video, and audio — with text output and a context window of 1,048,576 tokens (1M). Google positions it as a model that combines Flash-series speed with frontier intelligence, suited for high-throughput multimodal workloads.
On iCreat, you can call gemini-3.5-flash through an OpenAI Chat Completions–compatible API. The endpoint supports standard system and user messages, multimodal content arrays, streaming output, and prompt caching — letting applications already using the OpenAI SDK integrate directly.
Model Positioning
Gemini 3.5 Flash extends the Gemini Flash series from text-only reasoning to multimodal understanding, covering video analysis, audio processing, image comprehension, long-context reasoning, and high-throughput conversation scenarios.
For teams seeking a multimodal model at lower cost while maintaining a million-token context window, it is a practical choice. Gemini 3.5 Flash does not support PDF input; applications requiring PDF understanding should choose Gemini 3.1 Pro or Gemini 3.6 Flash. It also cannot generate images, video, or audio — text output only.
Core Capabilities
Multimodal Understanding
Gemini 3.5 Flash processes text, image, video, and audio inputs simultaneously, correlating cross-modal information within a single request. Suited for comprehensive content analysis, video summarization, and audio transcription understanding.
Long-Context Reasoning
The 1,048,576-token (1M) context window accommodates large documents, codebases, and long videos, enabling single-pass reasoning on ultra-long inputs.
Prompt Caching
Repeatedly sent prompt prefixes can hit the cache at 10% of standard input pricing — ideal for high-frequency calls with fixed system prompts.
Streaming Output
Supports the stream parameter for real-time streaming, letting applications present content progressively during generation instead of waiting for the full response.
Dynamic Thinking
Dynamic thinking is enabled by default; the model automatically reasons before answering without requiring manual thinking configuration.
OpenAI Compatibility
Fully compatible with the OpenAI Chat Completions API. Standard parameters such as temperature, max_tokens, top_p, frequency_penalty, presence_penalty, stop, n, and response_format are supported — no additional adaptation needed.
Pricing
| Token Type | Price |
|---|---|
| Input | $1.50 / million tokens |
| Output | $9.00 / million tokens |
| Cached Read | $0.15 / million tokens |
Use Cases
- Multimodal Content Analysis: Input video, audio, image, and text simultaneously for cross-modal comprehensive analysis and understanding.
- Long Document Processing: Leverage the 1M context window for ultra-long documents, codebases, and technical materials.
- Code Generation & Understanding: Knowledge cutoff Jan 2026; covers major programming languages and frameworks; supports function calling and structured output.
- Intelligent Conversation: Build multi-turn dialogue systems with streaming output and prompt caching for cost optimization.
- Content Summarization: Generate text summaries and structured descriptions from video, audio, and image content.
- Agent Workflows: Supports function calling and structured output for agent orchestration and multi-step task coordination.
Model Comparison
Gemini 3.5 Flash vs Gemini 3.6 Flash
| Dimension | Gemini 3.5 Flash | Gemini 3.6 Flash |
|---|---|---|
| Context Window | 1,048,576 tokens | 1,048,576 tokens |
| Input Modalities | Text/Image/Video/Audio | Text/Image/Video/Audio/PDF |
| Cached Read | $0.15 / M tokens | $0.15 / M tokens |
| Knowledge Cutoff | Jan 2026 | Mar 2026 |
| Release Date | May 19, 2026 | Jul 21, 2026 |
| Positioning | Flash speed + frontier intelligence | Latest Flash generation; adds PDF input |
Gemini 3.5 Flash vs Gemini 3.1 Pro, GPT 5.6 Sol
| Dimension | Gemini 3.5 Flash | Gemini 3.1 Pro | GPT 5.6 Sol |
|---|---|---|---|
| Positioning | Flash speed + multimodal understanding | Flagship multimodal, professional-grade | Flagship reasoning, complex pro tasks |
| Context Window | 1,048,576 tokens | 1,048,576 tokens | ~1,050,000 tokens |
| Max Output | 65,536 tokens | 65,536 tokens | 128,000 tokens |
| Input Modalities | Text, Image, Video, Audio | Text, Image, Video, Audio, PDF | Text, Image |
| Reasoning Control | Dynamic thinking (default on) | Dynamic thinking (default on) | Adjustable depth (none→max) |
| Input Price | $1.50 / M tokens | $2.50 / M tokens | $5.00 / M tokens |
| Output Price | $9.00 / M tokens | $15.00 / M tokens | $30.00 / M tokens |
| Best For | High-throughput multimodal workloads | Professional multimodal tasks | Ultra-long output & high-end reasoning |
Why Choose Gemini 3.5 Flash?
Choose Gemini 3.5 Flash when workloads require multimodal understanding (video/audio/image), a million-token context window, and cost-conscious operation. Four-modality input, cache pricing at 10% of input, 1M context window, and dynamic thinking make it suited as the reasoning core for high-throughput multimodal applications.
Through iCreat, teams can integrate via an OpenAI-compatible endpoint without self-deployment. Playground is suited for prompt-level testing; for tool integration, state management, and multi-turn conversation, use the API to build production workflows.
Specifications
| Category | Details |
|---|---|
| Model Name | Gemini 3.5 Flash |
| Developer | |
| Model ID | gemini-3.5-flash |
| Release Date | May 19, 2026 |
| Model Type | Multimodal Large Language Model |
| Context Window | 1,048,576 tokens (1M) |
| Max Output | 65,536 tokens |
| Input Modalities | Text, Image, Video, Audio |
| Output Modality | Text |
| Knowledge Cutoff | January 2026 |
| Reasoning | Dynamic thinking (enabled by default) |
| iCreat API Capabilities | OpenAI Chat Completions compatible, streaming, prompt caching |
| Primary Tasks | Multimodal analysis, long-context reasoning, code generation, intelligent conversation, content summarization |
Architecture
Gemini 3.5 Flash belongs to Google's Gemini Flash series, featuring a multimodal architecture design that supports cross-modal input encoding with unified text output. The model processes text tokens and multimodal input tokens within the same context window, automatically performing internal reasoning via the dynamic thinking mechanism before answering.
Compared to Gemini 3.1 Pro, 3.5 Flash optimizes inference efficiency and cost while maintaining the same context window. Compared to Gemini 3.6 Flash, 3.5 Flash lacks PDF input support but shares the same core multimodal capabilities.
Notes
For long output and multi-turn conversations, streaming output is recommended so applications can present progress rather than waiting for the full response. When setting request budgets, track input, output, and cached read usage simultaneously.
The 1,048,576-token context is a shared request space. When loading multimodal materials, reserve space for system instructions, conversation state, and the final answer. Video and audio inputs consume significant tokens — do not fill the entire window with source materials.
Multimodal inputs require accessible URLs; direct local file upload is not supported. The input_audio.format field must match the actual audio format. Common supported formats include wav, mp3, flac, and ogg.
Evaluate based on complete task performance. Measure multimodal understanding accuracy, long-context recall, reasoning quality, latency, token usage, and cache hit rate.
FAQ
What's the difference between Gemini 3.5 Flash and Gemini 3.6 Flash?
3.6 Flash adds PDF input support and updates the knowledge cutoff from January 2026 to March 2026. Both share the same pricing (input $1.50, output $9.00, cache $0.15). 3.6 Flash is the latest Flash generation; 3.5 Flash does not support PDF input.
Can I use the OpenAI SDK directly?
Yes. Set base_url to https://api.icreat.ai/llm/openai/v1 and api_key to your iCreat API Key — no additional adaptation needed. Standard parameters like temperature, max_tokens, and top_p are all supported.
How do I enable streaming output?
Add "stream": true to the request body. The response is returned chunk by chunk in SSE (Server-Sent Events) format. Each chunk contains delta.content; the last chunk has finish_reason set to stop.
How is cached read billing calculated?
Repeatedly sent prompt prefixes can hit the cache at $0.15/million tokens, which is 10% of the standard input price of $1.50. Ideal for high-frequency calls with fixed system prompts.
What audio formats are supported?
The input_audio.format field specifies the audio format. Common supported formats include wav, mp3, flac, and ogg. This field must match the actual audio format.
How does it compare to GPT 5.6 Sol?
Gemini 3.5 Flash is significantly cheaper (3.3x less for both input and output) and supports more input modalities (video/audio), making it suitable for high-throughput multimodal workloads. GPT 5.6 Sol is stronger in complex reasoning and ultra-long output (128K), suited for high-end reasoning and professional tasks.
Can the modalities parameter be set to other values?
Currently only ["text"] is supported. Gemini 3.5 Flash is a text-output model and cannot generate images, video, or audio.