---
title: Gemini 2.0 Flash API | Text Generation | ModelsLab
description: Processes text, images, audio, and video with native multimodal support, 1M token context window, and advanced reasoning at twice the speed of its predecessor.
url: https://modelslab.com/models/google/gemini-2.0-flash-001/api.md
canonical: https://modelslab.com/models/google/gemini-2.0-flash-001/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-14T22:41:38.011797Z
---

Gemini 2.0 Flash
---

 [LLMs.txt](https://modelslab.com/models/google/gemini-2.0-flash-001/llms.txt) [.md](https://modelslab.com/models/google/gemini-2.0-flash-001.md)

gemini-2.0-flash-001 google Closed Source Model $0.250000 / call

Gemini 2.0 Flash
---

Choose a prompt below to get started or type your own message

 Explain quantum computing in simple terms

 Write a Python function to sort a list

 Create a marketing email for a SaaS product

 Compare REST vs GraphQL APIs

Send

### Gemini 2.0 Flash

google gemini-2.0-flash-001

Copy model ID

PricingInput $0.10 / 1M tokens

Output $0.40 / 1M tokens

API EndpointsOpenAI Compatible

`https://modelslab.com/api/v7/llm/chat/completions`Endpoint

Anthropic Compatible

`https://modelslab.com/api/v7/llm/v1/messages`Messages

`https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens

`https://modelslab.com/api/v7/llm/v1/models`Models

Use with Claude Code

cURL Example

ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

Related Models
---

Discover similar models you might be interested in

 [View all LLM Models](https://modelslab.com/models?feature=llmaster)

[![Gemini 3 Pro Preview](https://images.stablediffusionapi.com/?Image=https://assets.modelslab.ai/generations/1846e76f-9d5c-4a35-a43a-82db45b7bb8b.png)](https://modelslab.com/models/google/gemini-3-pro-preview)[Google](https://modelslab.com/models/google)

 [Gemini 3 Pro Preview

Closed Source Model](https://modelslab.com/models/google/gemini-3-pro-preview)

[OO](https://modelslab.com/models/open_router/openai-o4-mini-high)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: o4 Mini High

Closed Source Model](https://modelslab.com/models/open_router/openai-o4-mini-high)

[XG](https://modelslab.com/models/open_router/x-ai-grok-code-fast-1)[Open Router](https://modelslab.com/models/open_router)

 [xAI: Grok Code Fast 1

Closed Source Model](https://modelslab.com/models/open_router/x-ai-grok-code-fast-1)

[QN](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Thinking)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 Next 80B A3b Thinking

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Next-80B-A3B-Thinking)

[NN](https://modelslab.com/models/open_router/nvidia-nemotron-3-nano-30b-a3b)[Open Router](https://modelslab.com/models/open_router)

 [NVIDIA: Nemotron 3 Nano 30B A3B

Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-3-nano-30b-a3b)

[ML](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Meta: Llama 3.1 8B Instruct

Closed Source Model](https://modelslab.com/models/open_router/meta-llama-llama-3.1-8b-instruct)

[ML](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta)

 [Meta Llama 3 70B Instruct Turbo

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3-70B-Instruct-Turbo)

[MM](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M1-40k)[Together AI](https://modelslab.com/models/together_ai)

 [Minimax M1 40K

Closed Source Model](https://modelslab.com/models/together_ai/MiniMaxAI-MiniMax-M1-40k)

[OG](https://modelslab.com/models/open_router/openai-gpt-5.3-codex)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-5.3-Codex

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.3-codex)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-max)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 Max

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-max)

[OG](https://modelslab.com/models/together_ai/openai-gpt-oss-120b)[Together AI](https://modelslab.com/models/together_ai)

 [OpenAI GPT-OSS 120B

Closed Source Model](https://modelslab.com/models/together_ai/openai-gpt-oss-120b)

[SL](https://modelslab.com/models/open_router/sao10k-l3.1-euryale-70b)[Open Router](https://modelslab.com/models/open_router)

 [Sao10K: Llama 3.1 Euryale 70B v2.2

Closed Source Model](https://modelslab.com/models/open_router/sao10k-l3.1-euryale-70b)

[L4](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)[ModelsLab](https://modelslab.com/models/meta)

 [Llama 4 Scout Instruct (17Bx16E)

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Llama-4-Scout-17B-16E-Instruct)

[DV](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3-DE)[Together AI](https://modelslab.com/models/together_ai)

 [Deepseek V3

Closed Source Model](https://modelslab.com/models/together_ai/deepseek-ai-DeepSeek-V3-DE)

[AJ](https://modelslab.com/models/open_router/ai21-jamba-large-1.7)[Open Router](https://modelslab.com/models/open_router)

 [AI21: Jamba Large 1.7

Closed Source Model](https://modelslab.com/models/open_router/ai21-jamba-large-1.7)

[OG](https://modelslab.com/models/open_router/openai-gpt-5.3-chat)[Open Router](https://modelslab.com/models/open_router)

 [OpenAI: GPT-5.3 Chat

Closed Source Model](https://modelslab.com/models/open_router/openai-gpt-5.3-chat)

[MM](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Mistral Small 3.2 24B

Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-small-3.2-24b-instruct)

[NN](https://modelslab.com/models/open_router/nvidia-nemotron-3-super-120b-a12b-free)[Open Router](https://modelslab.com/models/open_router)

 [NVIDIA: Nemotron 3 Super (free)

Closed Source Model](https://modelslab.com/models/open_router/nvidia-nemotron-3-super-120b-a12b-free)

About Gemini 2.0 Flash
---

Gemini 2.0 Flash is Google’s lightweight, ultra-fast Gemini model, optimized for speed and efficiency in everyday tasks.

### Technical Specifications

Model IDgemini-2.0-flash-001CategoryLLM ModelsTaskText GenerationPrice$0.250000 per million tokensAddedAugust 5, 2025

### Key Features

- Chat completion and multi-turn conversation API
- Streaming response with token-by-token output
- Function calling and tool use support
- System prompts and role-based messaging
- JSON mode and structured output

### Quick Start

Integrate Gemini 2.0 Flash into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>import requests
import json

url = "https://modelslab.com/api/v7/llm/chat/completions"

headers = {
    "Content-Type": "application/json"
}

data = {
        "model_id": "gemini-2.0-flash-001",
        "messages": [
            {
                "role": "user",
                "content": "Hello!"
            }
        ],
        "max_tokens": 1000,
        "key": "YOUR_API_KEY"
    }

try:
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raises an HTTPError for bad responses (4XX or 5XX)
    result = response.json()
    print("API Response:")
    print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")</code>
```

View the [full API documentation](https://modelslab.com/models/google/gemini-2.0-flash-001/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Gemini 2.0 Flash API costs $0.250000 per million tokens. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing)

### Use Cases

- AI chatbots and virtual assistants
- Code generation and developer tools
- Content writing and copywriting automation
- Data analysis, summarization, and extraction

[Learn more about Gemini 2.0 Flash](https://modelslab.com/gemini-20-flash) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Google](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Gemini 2.0 Flash FAQ
---

### What is Gemini 2.0 Flash?

\*\*Gemini 2.0 Flash\*\* is Google’s lightweight, ultra-fast Gemini model, optimized for speed and efficiency in everyday tasks.

### How do I use the Gemini 2.0 Flash API?

You can integrate Gemini 2.0 Flash into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "gemini-2.0-flash-001" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Gemini 2.0 Flash cost?

Gemini 2.0 Flash costs $0.250000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Gemini 2.0 Flash model ID?

The model ID for Gemini 2.0 Flash is "gemini-2.0-flash-001". Use this ID in your API requests to specify this model.

### Does Gemini 2.0 Flash have a free tier?

Yes, ModelsLab offers a free tier that lets you try Gemini 2.0 Flash and other AI models. Sign up to get free API credits and start building immediately.

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-04-15*