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Gemini 3.1 Flash Lite API

Google·Vision· 91.9% success (7d)

Gemini 3.1 Flash Lite — ultra-fast Google model

1.0M Context 65.5K out $7,722.70 capacity 106.6K req/24h $31.14 24h volume
Input
Text Image
Output
Text

Pricing

Cheapest live price, per 1 million tokens.

Input / 1M tokens

$0.003897% off

$0.125 OpenRouter

Output / 1M tokens

$0.02297% off

$0.750 OpenRouter

Cache read / 1M

$0.00114

Repeated prompt prefixes

Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).

Capabilities · 10

Vision Reasoning Adjustable reasoning Tool calling JSON mode JSON schema File input PDF Streaming Seed

Specifications

Context window
1.0M
Max output
66K
Type
Vision
Creator
Google
Live sellers
235
Requests / 24h
106,560

Price history · 60 days

Sep 5 — Nov 4▲ 0.74% vs last week
Compare all top models

Estimated monthly cost

30 days at the cheapest live price.

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100 req/day · 50K in · 5K out
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Quick start

OpenAI-compatible — change the base URL and key. Get a key from the dashboard.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.qubax.ai/v1",
    api_key="YOUR_QUBAX_API_KEY",
)

response = client.chat.completions.create(
    model="gemini-3.1-flash-lite",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

About Gemini 3.1 Flash Lite

Gemini 3.1 Flash Lite is a multimodal language model developed by Google. It's particularly well-suited for analyzing images, screenshots, and visual content, tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction and handling large contexts of up to 1.0M tokens. Its 1.0M-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 66K tokens in a single response.

As of Nov 4, 2026, Gemini 3.1 Flash Lite costs $0.0038 per 1M input tokens and $0.022 per 1M output tokens on Qubax, versus $0.125 / $0.750 on OpenRouter (97% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.02. Measured availability over the last 7 days: 91.9%. 235 independent compute providers currently serve it, so requests fail over automatically. It handled 106,560 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.

Visual Analysis
Analyze images, screenshots, diagrams, and visual content
Complex Reasoning
Multi-step problem solving, math, and logical analysis
Function Calling
Build agents and tool-using applications
Long Documents
Process entire codebases, books, or lengthy conversations
Chat & Conversation
Build AI chatbots and conversational assistants

Similar-priced alternatives

Frequently asked questions

How much does the Gemini 3.1 Flash Lite API cost?

On Qubax, Gemini 3.1 Flash Lite costs $0.0038 per 1M input tokens and $0.022 per 1M output tokens. This is 97% cheaper than OpenRouter's price of $0.125 per 1M input tokens.

Is the Gemini 3.1 Flash Lite API compatible with OpenAI?

Yes. Qubax provides an OpenAI-compatible API. You can use Gemini 3.1 Flash Lite as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.

Why is Gemini 3.1 Flash Lite cheaper on Qubax than OpenRouter?

Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 97% cheaper than OpenRouter's price for Gemini 3.1 Flash Lite.

How do I pay for Gemini 3.1 Flash Lite API usage?

Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.

What is the context window of Gemini 3.1 Flash Lite?

Gemini 3.1 Flash Lite supports a context window of 1.0M tokens, allowing you to process large documents, codebases, or long conversations in a single request.

What can I build with Gemini 3.1 Flash Lite?

You can use Gemini 3.1 Flash Lite to analyze images and visual content, tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.

How fast and reliable is Gemini 3.1 Flash Lite on Qubax?

Measured time to first token (p95) on Qubax is 15.8s. Its 7-day success rate is 91.9%. Responses stream token by token. 235 sellers serve it, so if one is slow or down the request moves to the next.

Gemini 3.1 Flash Lite vs Qwen3.8 Flash: which should I choose?

Gemini 3.1 Flash Lite by Google and Qwen3.8 Flash by Alibaba are both strong models in a similar price tier. Gemini 3.1 Flash Lite excels at complex reasoning and supports vision/image inputs. Qwen3.8 Flash comes from a different lab and may have different strengths depending on your workload. On Qubax, Gemini 3.1 Flash Lite starts at $0.0038/1M input tokens while Qwen3.8 Flash comes in at $0.0023/1M, so Qwen3.8 Flash may be worth considering if you need to minimize per-token cost. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.

Can I use Gemini 3.1 Flash Lite for commercial projects?

Yes. Gemini 3.1 Flash Lite on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.

Why use Gemini 3.1 Flash Lite on Qubax?

97% cheaper

Providers compete on price — you get the cheapest healthy seller.

Pay with crypto

350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.

OpenAI & Anthropic compatible

Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.

Get started free →

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Gemini 3.1 Flash Lite

$0.0038 in · $0.022 out

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