---
title: Google: Gemini 2.5 Pro Preview 05 06 | Text Generation | ModelsLab
description: Advanced reasoning LLM with 1M token context, multimodal input (text/image/audio/video), state-of-the-art coding & video understanding, function calling.
url: https://modelslab.com/models/google/google-gemini-2.5-pro-preview-05-06/api.md
canonical: https://modelslab.com/models/google/google-gemini-2.5-pro-preview-05-06/api.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T02:05:31.043810Z
---

Google: Gemini 2.5 Pro Preview 05-06
---

 [LLMs.txt](https://modelslab.com/models/open_router/google-gemini-2.5-pro-preview-05-06/llms.txt) [.md](https://modelslab.com/models/google/google-gemini-2.5-pro-preview-05-06.md)

google-gemini-2.5-pro-preview-05-06 google Closed Source Model $5.625000 / call

Google: Gemini 2.5 Pro Preview 05-06
---

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

### Google: Gemini 2.5 Pro Preview 05-06

google google-gemini-2.5-pro-preview-05-06

Copy model ID

PricingInput $1.25 / 1M tokens

Output $10.00 / 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)

[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)

[QQ](https://modelslab.com/models/open_router/qwen-qwen3-8b)[Open Router](https://modelslab.com/models/open_router)

 [Qwen: Qwen3 8B

Closed Source Model](https://modelslab.com/models/open_router/qwen-qwen3-8b)

[ML](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)[Together AI](https://modelslab.com/models/together_ai)

 [Meta Llama 3.1 70B Instruct Turbo

Closed Source Model](https://modelslab.com/models/together_ai/meta-llama-Meta-Llama-3.1-70B-Instruct-Turbo)

[MD](https://modelslab.com/models/open_router/mistralai-devstral-small)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Devstral Small 1.1

Closed Source Model](https://modelslab.com/models/open_router/mistralai-devstral-small)

[DR](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Llama-70B)[ModelsLab](https://modelslab.com/models/deepseek)

 [DeepSeek-R1

Closed Source Model](https://modelslab.com/models/deepseek/deepseek-ai-DeepSeek-R1-Distill-Llama-70B)

[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)

[Q1](https://modelslab.com/models/together_ai/Qwen-Qwen3-1.7B)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 1.7B

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-1.7B)

[GG](https://modelslab.com/models/open_router/google-gemini-3.1-pro-preview)[Open Router](https://modelslab.com/models/open_router)

 [Google: Gemini 3.1 Pro Preview

Closed Source Model](https://modelslab.com/models/open_router/google-gemini-3.1-pro-preview)

[MD](https://modelslab.com/models/open_router/mistralai-devstral-medium)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Devstral Medium

Closed Source Model](https://modelslab.com/models/open_router/mistralai-devstral-medium)

[TH](https://modelslab.com/models/open_router/tencent-hunyuan-a13b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [Tencent: Hunyuan A13B Instruct

Closed Source Model](https://modelslab.com/models/open_router/tencent-hunyuan-a13b-instruct)

[QC](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-Next-FP8)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3 Coder Next Fp8

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3-Coder-Next-FP8)

[II](https://modelslab.com/models/open_router/inflection-inflection-3-pi)[Open Router](https://modelslab.com/models/open_router)

 [Inflection: Inflection 3 Pi

Closed Source Model](https://modelslab.com/models/open_router/inflection-inflection-3-pi)

[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)

[Q9](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-9B-FP8)[Together AI](https://modelslab.com/models/together_ai)

 [Qwen3.5 9B Fp8

Closed Source Model](https://modelslab.com/models/together_ai/Qwen-Qwen3.5-9B-FP8)

[ML](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)[ModelsLab](https://modelslab.com/models/meta)

 [Meta Llama 3.1 8B Instruct Turbo

Closed Source Model](https://modelslab.com/models/meta/meta-llama-Meta-Llama-3.1-8B-Instruct-Turbo)

[MM](https://modelslab.com/models/open_router/mistralai-mistral-large-2512)[Open Router](https://modelslab.com/models/open_router)

 [Mistral: Mistral Large 3 2512

Closed Source Model](https://modelslab.com/models/open_router/mistralai-mistral-large-2512)

[LL](https://modelslab.com/models/open_router/liquid-lfm-2-24b-a2b)[Open Router](https://modelslab.com/models/open_router)

 [LiquidAI: LFM2-24B-A2B

Closed Source Model](https://modelslab.com/models/open_router/liquid-lfm-2-24b-a2b)

[AO](https://modelslab.com/models/open_router/allenai-olmo-2-0325-32b-instruct)[Open Router](https://modelslab.com/models/open_router)

 [AllenAI: Olmo 2 32B Instruct

Closed Source Model](https://modelslab.com/models/open_router/allenai-olmo-2-0325-32b-instruct)

About Google: Gemini 2.5 Pro Preview 05-06
---

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

### Technical Specifications

Model IDgoogle-gemini-2.5-pro-preview-05-06CategoryLLM ModelsTaskText GenerationPrice$5.625000 per million tokensAddedFebruary 20, 2026

### 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 Google: Gemini 2.5 Pro Preview 05-06 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": "google-gemini-2.5-pro-preview-05-06",
        "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/google-gemini-2.5-pro-preview-05-06/api) for SDKs, code examples in Python, JavaScript, and more.

### Pricing

Google: Gemini 2.5 Pro Preview 05-06 API costs $5.625000 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

[Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Google](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/pricing)

Google: Gemini 2.5 Pro Preview 05-06 FAQ
---

### What is Google: Gemini 2.5 Pro Preview 05-06?

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

### How do I use the Google: Gemini 2.5 Pro Preview 05-06 API?

You can integrate Google: Gemini 2.5 Pro Preview 05-06 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "google-gemini-2.5-pro-preview-05-06" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

### How much does Google: Gemini 2.5 Pro Preview 05-06 cost?

Google: Gemini 2.5 Pro Preview 05-06 costs $5.625000 per million tokens. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.

### What is the Google: Gemini 2.5 Pro Preview 05-06 model ID?

The model ID for Google: Gemini 2.5 Pro Preview 05-06 is "google-gemini-2.5-pro-preview-05-06". Use this ID in your API requests to specify this model.

### Does Google: Gemini 2.5 Pro Preview 05-06 have a free tier?

Yes, ModelsLab offers a free tier that lets you try Google: Gemini 2.5 Pro Preview 05-06 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*