Gemini 4 Argon
gemini-4-argon
Total Context
1M
Max Output
65.5K
Released
N/A
Input$4 / M tokens
Output$20 / M tokens
Gemini 2.5 Flash-Lite
gemini-2.5-flash-liteGemini 2.5 Flash-Lite is Google’s fastest and most budget-friendly Gemini 2.5 option. Official docs highlight low latency, low cost, multimodal support, thinking budgets, and tool integrations such as grounding and code execution. It is best described for classification, translation, routing, extraction, and high-scale workloads.
Context Window
1M tokens
Maximum Output
65.5K tokens
Release Date
Jun 17, 2025
Modalities
Gemini 2.5 Flash-Lite Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.1/M | $0.4/M | $0.01/M |
Gemini 2.5 Flash-Lite API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2025-01-01
Endpoint Protocols
Completions APIMessages APIgemini
Gemini 2.5 Flash-Lite Model Highlights
Gemini 2.5 Flash-Lite prioritizes low latency and efficient multimodal processing for frequent, lightweight tasks at scale.
Low-Latency Processing
The model is optimized for fast execution of lightweight requests, supporting responsive applications and high-frequency processing.
Broad Multimodal Input
It can interpret text, images, video, audio and PDF files while producing text responses for downstream applications.
Large Input Window
Its 1,048,576-token input limit allows lightweight processing to cover long documents and sizeable collections in fewer requests.
Gemini 2.5 Flash-Lite Use Cases
Gemini 2.5 Flash-Lite fits high-volume classification, straightforward extraction and latency-sensitive content processing.
High-Volume Classification
Assign categories, priorities or moderation labels to large streams of text and multimodal content with fast turnaround.
Simple Data Extraction
Extract routine fields and facts from messages, forms, images or PDF files for indexing and downstream automation.
Rapid Document Summaries
Condense lengthy documents and PDFs into short overviews, key points or routing metadata for content pipelines.
How to Use Gemini 2.5 Flash-Lite via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Gemini 2.5 Flash-Lite Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 11.4 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 9.5 |
| Artificial Analysis Math Index | Artificial Analysis math reasoning aggregate | 53.3 |
| Knowledge & Reasoning | ||
| MMLU-Pro | Advanced multi-task knowledge | 75.9% |
| GPQA | Advanced science problem solving | 62.5% |
| HLE | Broad expert-level exam set | 6.4% |
| Coding & Engineering | ||
| LiveCodeBench | Live coding problems | 59.3% |
| SciCode | Scientific coding challenges | 19.3% |
| Terminal-Bench Hard | Hard terminal task execution | 4.5% |
| Math | ||
| MATH-500 | Advanced math problem solving | 96.9% |
| AIME | Competition math problems | 70.3% |
| AIME 2025 | Competition math problems | 53.3% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 49.9% |
| AA-LCR | Long-context reasoning | 51.3% |
| τ²-Bench | Agent workflow tasks | 18.4% |
Metrics sourced from Artificial Analysis
Frequently asked questions about Gemini 2.5 Flash-Lite
Understand what Gemini 2.5 Flash-Lite is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
What kind of model is Gemini 2.5 Flash-Lite?+
Gemini 2.5 Flash-Lite is Google’s most economical Gemini 2.5 model for simple, high-frequency multimodal processing. It remains a defined model generation, but newer models in the same family may be preferable for new evaluations.
What should teams use Gemini 2.5 Flash-Lite for?+
Best-fit scenarios include large-scale classification and routing, simple structured data extraction, and high-volume translation. Test representative inputs and define measurable acceptance criteria before production.
Where does Gemini 2.5 Flash-Lite have a clear technical advantage?+
Key strengths include cost-efficient scaling, fast response times, and support for varied multimodal inputs. This combination is especially useful for simple structured data extraction.
When should a team choose another model instead of Gemini 2.5 Flash-Lite?+
Consider another model when the workload involves difficult multi-step reasoning, the project can adopt a newer Gemini generation, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
What should be checked before integrating Gemini 2.5 Flash-Lite with TokenHub?+
In TokenHub, select the exact model identifier displayed for Gemini 2.5 Flash-Lite, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Confirm the TokenHub-exposed input types, tools, grounding options, and model lifecycle rather than assuming full Gemini API parity.
Ready to use Gemini 2.5 Flash-Lite?
Use one API key to access Gemini 2.5 Flash-Lite and more AI models through TokenHub.
Media and Discussions
Selected public videos and posts related to this model.
X (Twitter)
Google AI ·
Here’s what launched this week: — Gemini 3.5 Live Translate our latest audio model for live speech-to-speech translation — @NotebookLM got a major upgrade including agentic capabilities in chat, more advanced reasoning, and a suite of new output formats — Project Genie from
View originalGoogle AI ·
Tune in for the full story ↓ https://www.youtube.com/watch?v=8hfpLa5wPGo
View originalGoogle AI ·
Here’s this week’s shipping recap 👇 — Nano Banana 2 & Nano Banana Pro are now GA and available via the Gemini Enterprise Agent Platform, Gemini API, and in @GoogleAIStudio —Co-Scientist, our new multi-agent system for structured scientific thinking, generates and refines novel
View originalReddit
Can anyone explain Gemini 2.5 flash pricing
Embarrassed-Way-1350 ·
View originalAdvanced vs standard Gemini
No-Gur7172 ·
Read full post
What is it you’re actually paying for with gemini advanced (just as far as models are concerned)? I understand the extra features such as AI video, deep research etc. But when I open the free version I see the same available models (2.0 flash, 2.5 flash preview and 2.5 pro preview) as when I had my pro subscription. So, is it like chatgpt in that I am paying for extra limits? A greater context window? The only thing I am interested in is access to 2.5 pro preview, so how would this differ if I pay?
advanced vs standard gemini
No-Gur7172 ·
Read full post
What is it you’re actually paying for with gemini advanced (just as far as models are concerned)? I understand the extra features such as AI video, deep research etc. But when I open the free version I see the same available models (2.0 flash, 2.5 flash preview and 2.5 pro preview) as when I had my pro subscription. So, is it like chatgpt in that I am paying for extra limits? A greater context window? The only thing I am interested in is access to 2.5 pro preview, so how would this differ if I pay?
YouTube
New Google Gemini 2.5 Flash-Lite is WILD (FREE!) 🤯
Julian Goldie SEO
View originalGemini 2.5 Flash-Lite FULLY TESTED!
Sudo AI
View originalGoogle Is So Back: Meet Gemini 2.5 + Flash-Lite
Wil A. Villaran
View original