Google
Gemini 2.5 Flash
google/gemini-2.5-flash
Google's previous-generation Flash model for high-volume, low-latency multimodal tasks.
Pricing
| Input | $0.3per 1M tokens |
|---|---|
| Output | $2.50per 1M tokens |
| Cached input | $0.03per 1M tokens read from cache |
Specifications
| Context window | 1Mtokens |
|---|---|
| Max output | 66Ktokens |
| Provider | |
| Capabilities | Vision · Reasoning · Function calling |
| Input types | text, image |
Use Gemini 2.5 Flash
Point your existing OpenAI SDK at xKiro and pass google/gemini-2.5-flash as the model. Nothing else in your code changes.
from openai import OpenAI
client = OpenAI(
base_url="https://api.xkiro.com/v1",
api_key="YOUR_XKIRO_KEY",
)
response = client.chat.completions.create(
model="google/gemini-2.5-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · reasoning · include_reasoning
Related models
- Gemini 2.5 Pro$1.25
- Gemini 3 Flash$0.5
- Gemini 3.1 Pro$2.00
- Gemini 3.5 Flash$1.50
- Gemini 3.6 Flash$1.50
- Gemini 3.7 Flash$0.375
Call Gemini 2.5 Flash through the same endpoints you already use.
Get an API key