Gemini 2.5 Flash-Lite
Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$0.037/M. Implicit caching is on by default for current Gemini models (discounted automatically on cache hits), plus an explicit CachedContent API with storage-based billing for guaranteed savings.
Use Gemini 2.5 Flash-Lite in 30 seconds
OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions
from openai import OpenAI
client = OpenAI(
base_url="https://synthorai.io/v1",
api_key="sk-syn-...",
)
resp = client.chat.completions.create(
model="gemini-2.5-flash-lite",
messages=[{"role": "user", "content": "Summarize this diff"}],
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://synthorai.io/v1",
apiKey: "sk-syn-...",
});
const resp = await client.chat.completions.create({
model: "gemini-2.5-flash-lite",
messages: [{ role: "user", content: "Summarize this diff" }],
});
console.log(resp.choices[0].message.content);curl https://synthorai.io/v1/chat/completions \
-H "Authorization: Bearer sk-syn-..." \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-2.5-flash-lite",
"messages": [{"role": "user", "content": "Hello"}]
}'package main
import (
"context"
"fmt"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithBaseURL("https://synthorai.io/v1"),
option.WithAPIKey("sk-syn-..."),
)
resp, _ := client.Chat.Completions.New(context.TODO(), openai.ChatCompletionNewParams{
Model: "gemini-2.5-flash-lite",
Messages: []openai.ChatCompletionMessageParamUnion{
openai.UserMessage("Summarize this diff"),
},
})
fmt.Println(resp.Choices[0].Message.Content)
}import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.*;
OpenAIClient client = OpenAIOkHttpClient.builder()
.baseUrl("https://synthorai.io/v1")
.apiKey("sk-syn-...")
.build();
ChatCompletion resp = client.chat().completions().create(
ChatCompletionCreateParams.builder()
.model("gemini-2.5-flash-lite")
.addUserMessage("Summarize this diff")
.build());
System.out.println(resp.choices().get(0).message().content().orElse(""));About Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is Google's most cost-efficient multimodal Gemini 2.5 model, offering the fastest performance in the family for high-frequency, lightweight tasks such as classification, data extraction, and summarization.
- It accepts text, image, video, audio, and PDF input with a 1,048,576-token context window and 65,536-token output limit, and optional thinking can be enabled for harder problems.
- Function calling, structured outputs, code execution, search grounding, and context caching are all supported.
- Synthorai routes requests to it through the standard OpenAI-compatible chat completions endpoint.
Specs & limits
| Max output (vendor spec) | 65,536 |
| Modalities | text + image + video + audio → text |
| Features | tools · structured_output · streaming · vision · batch · caching · reasoning |
| Notable | 1,048,576-token input / 65,536 output; text+image+video+audio+PDF input; thinking supported. |
| Prompt caching | automatic + explicit · min 1,024-token prefix |
FAQ
Is the Gemini 2.5 Flash-Lite API free to try?
Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $0.1/M input tokens, that credit alone covers roughly 1,250 requests of ~8K tokens against Gemini 2.5 Flash-Lite.
What is Gemini 2.5 Flash-Lite best at?
Most cost-efficient, fastest in its family, plus optional thinking for harder problems and built for classification, extraction, and summarization. See the About section for the full picture from the vendor's own release notes.
How much does Gemini 2.5 Flash-Lite cost?
Gemini 2.5 Flash-Lite costs $0.1 per million input tokens and $0.4 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.01/M.
Does Gemini 2.5 Flash-Lite support prompt caching?
Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.01/M vs $0.1/M uncached; prompts need a 1,024-token stable prefix to cache. Prompt caching guide →
How do I get access to Gemini 2.5 Flash-Lite?
Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="gemini-2.5-flash-lite", and you're done. One API key covers every model on the gateway.
What is Gemini 2.5 Flash-Lite's knowledge cutoff?
Gemini 2.5 Flash-Lite's knowledge cutoff is 2025-01, per the vendor's official documentation (as of 2026-07-09).