Gemini 3.8 Flash API setup guide

1. Prepare your account and private key

Create a TokenRex account, verify it, fund your wallet and create an API key with permission for gemini-3.8-flash. Store the key privately as TOKENREX_API_KEY on the server running your application. Never embed it in a public website, repository or browser script.

Python: install the official openai package. Node.js: add the openai package and run the example from a server-side module. Shell examples assume the private environment variable is already set.

2. Use the correct address and exact ID

OpenAI-compatible SDK base URL

https://tokenrex.ai/api/public/v1

HTTP request

POST https://tokenrex.ai/api/public/v1/chat/completions

Model ID

gemini-3.8-flash

Do not append /v1 twice. The short model ID selects the exact catalog row; naming a provider is not a substitute for choosing a model.

3. Send a small text request

The prompt below exercises interactive text assistance. Begin with model and messages only. Add streaming after the basic request succeeds; built-in web search can be added with web_search_options (billed per search), but do not assume other provider-native settings, hosted tools such as code interpreter, or a public Responses endpoint are supported.

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["TOKENREX_API_KEY"],
    base_url="https://tokenrex.ai/api/public/v1",
)
response = client.chat.completions.create(
    model="gemini-3.8-flash",
    messages=[{"role":"user","content":"Explain a validation error in plain English and suggest the next check."}],
)
print(response.choices[0].message.content)
print(response.usage)

Gemini compatibility boundary

These examples call Gemini through OpenAI-compatible Chat Completions. They do not use Google's native generateContent format. Native Google tools, file uploads or media controls must not be assumed to work through this endpoint; consult the model's documented support.

4. Verify the response and recorded usage

1. Confirm a successful response includes a usable answer; HTTP 200 alone is not a quality or compatibility test.
2. Check the returned model identifier and usage counts, then confirm the request appears in your account's recorded usage.
3. Try representative inputs, validate the output in your own code and check costs before increasing traffic.
4. For tools, authorize and execute functions in your application, validate arguments and send the result back. TokenRex does not execute customer tools for you.

Troubleshooting

401 or 403

Check that the key is active, is a TokenRex key and permits this exact model. Do not print it while debugging.

402

Check wallet funding; changing the display currency does not add balance.

404 or model unavailable

Check the enabled catalog and URL. Avoid duplicate /v1 segments and wrong model spelling.

429 or a temporary service error

Respect the returned wait period and use bounded retries. A retry is a new attempt; do not silently switch models or replay consequential tools.

Sources and verification

TokenRex's live catalog determines availability and charges. Provider documents describe upstream behavior; they do not prove that every native feature is exposed here. These examples are not a claim of a completed live API test.

• TokenRex enabled catalog and prices
• TokenRex endpoint and billing documentation
• Official OpenAI Python SDK: custom client configuration
• Official OpenAI Node SDK: custom client configuration
• Provider model specifications · reviewed 2026-10-06
• AIEvals – Gemini 3.8 Flash benchmark results (Vals AI methodology) · reviewed 2026-10-06
• Wait Which Model – Gemini 3.8 Flash · reviewed 2026-10-06
• Cognition · FrontierCode 1.1 original leaderboard · reviewed 2026-10-07