Google: Gemini 2.5 Pro Preview 06-05
google/gemini-2.5-pro-preview
Access Gemini 2.5 Pro Preview 06-05 from Google using Puter.js AI API.
Get Started// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "google/gemini-2.5-pro-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "google/gemini-2.5-pro-preview"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.puter.com/puterai/openai/v1/",
api_key="YOUR_PUTER_AUTH_TOKEN",
)
response = client.chat.completions.create(
model="google/gemini-2.5-pro-preview",
messages=[
{"role": "user", "content": "Explain quantum computing in simple terms"}
],
)
print(response.choices[0].message.content)
curl https://api.puter.com/puterai/openai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_PUTER_AUTH_TOKEN" \
-d '{
"model": "google/gemini-2.5-pro-preview",
"messages": [
{"role": "user", "content": "Explain quantum computing in simple terms"}
]
}'
Model Card
Gemini 2.5 Pro Preview is the preview version of Google's most advanced reasoning model with state-of-the-art coding and complex task performance. It features Deep Think mode, 1M token context, and advanced multimodal capabilities.
Context Window 1M
tokens
Max Output 66K
tokens
Input Cost $1.25
per million tokens
Output Cost $10
per million tokens
Release Date Jun 5, 2025
Output Speed 143
tokens / sec
Latency 19.47s
time to first token
Model Playground
Try Gemini 2.5 Pro Preview 06-05 instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
Benchmarks
How Gemini 2.5 Pro Preview 06-05 performs on standard evaluations.
| Benchmark | Score |
|---|---|
| GPQA Diamond Graduate-level science Q&A | 84.4% |
| Humanity's Last Exam Cross-domain reasoning | 21.1% |
| LiveCodeBench Recent coding problems | 80.1% |
| SciCode Scientific programming | 42.8% |
| MATH-500 Competition math | 96.7% |
| AIME 2024 Advanced math exam | 88.7% |
| AIME 2025 Advanced math exam | 87.7% |
| IFBench Instruction following | 48.7% |
| LCR Long-context reasoning | 66.0% |
| Terminal-Bench Hard Agentic terminal tasks | 26.5% |
| τ²-Bench Tool use / agents | 54.1% |
Scores sourced from Artificial Analysis.
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ChatGemini 3.5 Flash
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ChatGemma 4 26B A4B
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Frequently Asked Questions
You can access Gemini 2.5 Pro Preview 06-05 by Google through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
Yes, it is free if you're using it through Puter.js. With the User-Pays Model, you can add Gemini 2.5 Pro Preview 06-05 to your app at no cost — your users pay for their own AI usage directly, making it completely free for you as a developer.
| Price per 1M tokens | |
|---|---|
| Input | $1.25 |
| Output | $10 |
Gemini 2.5 Pro Preview 06-05 was created by Google and released on Jun 5, 2025.
Gemini 2.5 Pro Preview 06-05 supports a context window of 1M tokens. For reference, that is roughly equivalent to 2,097 pages of text.
Gemini 2.5 Pro Preview 06-05 can generate up to 66K tokens in a single response.
Gemini 2.5 Pro Preview 06-05 scores 25.8 on the Artificial Analysis Intelligence Index, outperforming 71% of tracked models. On coding, it scores 33.3 (outperforms 46% of models). On math, it scores 87.7 (outperforms 85% of models).
Yes — the Gemini 2.5 Pro Preview 06-05 API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Get started with Puter.js
Add Gemini 2.5 Pro Preview 06-05 to your app without worrying about API keys or setup.
Read the Docs View Tutorials