Gemini 2.5 Flash API on AvalAI
gemini-2.5-flashGemini 2.5 Flash is an AI model from Google that is available through AvalAI's OpenAI-compatible API.
Use Gemini 2.5 Flash with the AvalAI API
Keep the API key in an environment variable and send requests from server-side code.
curl https://api.avalai.ir/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $AVALAI_API_KEY" \
-d '{"model": "gemini-2.5-flash", "messages": [{"role": "user", "content": "Give a concise, practical solution."}]}'import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AVALAI_API_KEY"],
base_url="https://api.avalai.ir/v1",
)
response = client.chat.completions.create(
model="gemini-2.5-flash",
messages=[{"role": "user", "content": "Give a concise, practical solution."}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.AVALAI_API_KEY,
baseURL: "https://api.avalai.ir/v1",
});
const response = await client.chat.completions.create({
model: "gemini-2.5-flash",
messages: [{ role: "user", content: "Give a concise, practical solution." }],
});
console.log(response.choices[0].message.content);Create an API keyRead the quickstart
Capabilities and endpoints
- Function calling
- Parallel function calling
- PDF input
- Prompt caching
- Reasoning
- Structured output
- System messages
- Tool choice
- URL context
- Vision
- Web search
Endpoints
/v1/chat/completions/v1/completions/v1/batch
Third-party model parameters
Third-party reference data does not change AvalAI endpoint support; use the capabilities and endpoints above.
include_reasoningmax_tokensreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Gemini 2.5 Flash rate limits
| Tier | RPM | TPM |
|---|---|---|
| Basic | 3 | 40,000 |
| Tier 1 | 50 | 1,000,000 |
| Tier 2 | 500 | 4,000,000 |
| Tier 3 | 1,000 | 8,000,000 |
| Tier 4 | 2,500 | 10,000,000 |
| Tier 5 | 10,000 | 20,000,000 |
AvalAI and reference marketplace pricing
| Token role | AvalAI final price0% platform fee | OpenRouter cost breakdown | ||
|---|---|---|---|---|
| Model rate | Credit purchase fee | Effective OpenRouter cost after fee | ||
| Input price | $0.30 / 1M tokens | $0.30 / 1M tokens | 5.5% | $0.32 / 1M tokens |
| Output price | $2.50 / 1M tokens | $2.50 / 1M tokens | 5.5% | $2.64 / 1M tokens |
AvalAI pricing is final with a 0% platform fee. The effective OpenRouter prices add its 5.5% credit purchase fee to the highest reported model rate, including long-context tiers. OpenRouter charges a 5.5% fee when credits are purchased ($0.80 minimum), so small credit purchases can have a higher effective cost. OpenRouter FAQ
Third-party model data
Source: OpenRouterIndependent sources supplement this context; AvalAI remains authoritative for pricing, availability, and endpoint support.
Reviewed snapshot 2026-08-13
- Provider count
- —
- Context window range
- 1,048,576
- Maximum output range
- 65,535
- OpenRouter model input rate range
- $0.3 / 1M
- OpenRouter model output rate range
- $2.5 / 1M
- OpenRouter fee
- 5.5% credit purchase fee · OpenRouter fee details
- Effective input price range after fee
- $0.3165 / 1M
- Effective output price range after fee
- $2.6375 / 1M
Related models
- gemini-2.5-flash-tts
- gemini-2.5-flash-preview-tts
- Gemini 2.5 Flash Lite
- Nano Banana (Gemini 2.5 Flash Image)
Frequently asked questions
What is the Gemini 2.5 Flash API on AvalAI?
Create an AvalAI API key and send the model ID gemini-2.5-flash to one of the supported endpoints shown on this page.
How much does the Gemini 2.5 Flash API cost on AvalAI?
The Gemini 2.5 Flash API on AvalAI costs $0.30 per 1M input tokens and $2.50 per 1M output tokens.
What is the token cost for Gemini 2.5 Flash?
Current AvalAI pricing for Gemini 2.5 Flash is $0.30 / 1M tokens for input and $2.50 / 1M tokens for output.
What is the Gemini 2.5 Flash context window?
The recorded maximum input context for Gemini 2.5 Flash is 1,048,576 tokens.
What are the rate limits for Gemini 2.5 Flash on AvalAI?
On tier 5, Gemini 2.5 Flash on AvalAI supports up to 10,000 requests per minute and 20,000,000 tokens per minute.
What features does Gemini 2.5 Flash support on AvalAI?
Gemini 2.5 Flash on AvalAI supports Function calling, Parallel function calling, PDF input, Prompt caching, Reasoning, Structured output, System messages, Tool choice, URL context, Vision, Web search.
What account tier is required to use Gemini 2.5 Flash on AvalAI?
Calling Gemini 2.5 Flash on AvalAI requires the Basic tier (tier 0) or higher.
Third-party data and freshness
- Pricing, availability, endpoints, and rate limits: AvalAI structured data (authoritative)
- OpenRouter marketplace · Last checked: 2026-08-13