HomeModelsGoogle: Gemini 2.5 Flash Lite Preview 09-2025
GoogleBudget
Google: Gemini 2.5 Flash Lite Preview 09-2025
The go-to model for cost-sensitive, high-volume pipelines that need a massive context window without breaking the budget.
68
Coding
55
Writing
70
Research
0
Images
93
Value
88
Long Context
Use this when
High-volume document processing, classification pipelines, and lightweight coding tasks where cost per token matters more than peak quality.
Strengths
Exceptional price-to-context ratio: 1M token window at $0.10/1M input is cheaper than most competitors' standard-context tiers
Inherits Gemini 2.5 Flash's strong instruction-following and structured output capabilities at a fraction of the cost
Purpose-built for speed and throughput, making it ideal for batch processing and real-time pipelines
Handles long document summarization, RAG retrieval, and multi-file code review without context truncation
Weaknesses
As a 'Lite' preview model, it underperforms full Gemini 2.5 Flash on complex reasoning and nuanced writing tasks
Monthly cost estimate
See what Google: Gemini 2.5 Flash Lite Preview 09-2025 actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.100
Output cost
$0.200
Total / month
$0.300
Based on Google: Gemini 2.5 Flash Lite Preview 09-2025 API pricing: $0.09999999999999999/1M input · $0.39999999999999997/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Google: Gemini 2.5 Flash Lite Preview 09-2025 pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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Start using Google: Gemini 2.5 Flash Lite Preview 09-2025
High-volume document processing, classification pipelines, and lightweight coding tasks where cost per token matters more than peak quality.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
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GoogleBudget
Gemma 4 26B A4B
Gemma 4 26B A4B is a sparse mixture-of-experts open model from Google, activating only ~4B parameters per forward pass despite having 26B total parameters. It offers a 262K context window at budget pricing, making it one of the more capable open-weight models for its cost tier.
Verdict
A lean, fast, and surprisingly capable budget model best suited for high-volume text tasks where cost efficiency trumps peak quality.
Quality score
59%
Pricing
$0.13/1M in
$0.40/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
Google: Gemini 2.5 Flash Lite Preview 09-2025 — added to UseRightAI
Google: Gemini 2.5 Flash Lite Preview 09-2025 (Google) is now indexed. The go-to model for cost-sensitive, high-volume pipelines that need a massive context window without breaking the budget.
What is Google: Gemini 2.5 Flash Lite Preview 09-2025 best for?
Google: Gemini 2.5 Flash Lite Preview 09-2025 is best for high-volume document processing, classification pipelines, and lightweight coding tasks where cost per token matters more than peak quality.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
When should I avoid Google: Gemini 2.5 Flash Lite Preview 09-2025?
You need reliable, high-quality creative writing, complex multi-step reasoning, or production-grade stability — this is a preview model and the quality ceiling is meaningfully below full Gemini 2.5 Flash.
What is a cheaper alternative to Google: Gemini 2.5 Flash Lite Preview 09-2025?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Google: Gemini 2.5 Flash Lite Preview 09-2025?
Gemma 4 26B A4B is the better pick when response time matters more than maximum depth or premium quality.
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Skip this if
You need reliable, high-quality creative writing, complex multi-step reasoning, or production-grade stability — this is a preview model and the quality ceiling is meaningfully below full Gemini 2.5 Flash.
Preview status means potential instability, API changes, or deprecation before GA release
Not suitable for multimodal image generation or advanced visual reasoning tasks
Fast
Best for cost-sensitive applications needing long-context processing with reasonable quality, such as document summarization pipelines or lightweight coding assistants.
Context
262k tokens
As an open-weight model, Gemma 4 26B can also be self-hosted, making API pricing largely irrelevant at scale. The 'A4B' suffix denotes the active parameter count in its MoE configuration. Listed as superseding Gemini 3 Flash Preview, though Gemini 2.0 Flash remains a stronger hosted alternative.
Open-weightBudgetMoELong ContextGoogle
Best for
Cost-sensitive applications needing long-context processing with reasonable quality, such as document summarization pipelines or lightweight coding assistants.
Gemma 4 31B is Google's open-weight instruction-tuned model offering a strong balance of capability and cost efficiency at just $0.14/$0.40 per million tokens. It features a 262K context window and is designed for developers who need capable on-premise or API-hosted inference without flagship pricing.
Verdict
A well-priced, long-context open-weight model that's ideal for high-volume developer workloads but won't match frontier models on complex reasoning.
Quality score
66%
Pricing
$0.14/1M in
$0.40/1M out
Speed
Fast
Best for cost-conscious developers needing a capable open-weight model for coding assistance, summarization, and document analysis at scale.
Context
262k tokens
As an open-weight model, Gemma 4 31B can be self-hosted via Ollama or Hugging Face in addition to Google's API. Pricing shown is for hosted inference. No image input capability confirmed at launch.
Open WeightBudgetLong ContextCodingSelf-Hostable
Best for
Cost-conscious developers needing a capable open-weight model for coding assistance, summarization, and document analysis at scale.
Gemini 2.0 Flash is Google's high-speed, cost-efficient multimodal model built for high-volume production workloads, offering a massive 1M token context window at near-throwaway pricing. It supports text, image, audio, and video inputs with strong instruction-following and tool-use capabilities.
Verdict
The best bang-for-buck multimodal workhorse for developers who need speed, scale, and a massive context window.
Quality score
76%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
Best for high-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
Context
1.0M tokens
Pricing listed is for standard (non-cached) input/output. Context caching is available and can reduce costs significantly for repeated long-context calls. Image and audio inputs are priced separately. Free tier available via Google AI Studio.
BudgetFastLong ContextMultimodalGoogle
Best for
High-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
