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HomeModelsGoogle: Gemini 2.5 Flash
GoogleBudget

Google: Gemini 2.5 Flash

The go-to budget model for long-context and multimodal workloads where speed and scale matter.

78
Coding
65
Writing
74
Research
72
Images
88
Value
92
Long Context
Use this when

High-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.

Skip this if

You need high-quality creative writing, complex multi-step reasoning, or mathematical problem solving — use Gemini 2.5 Pro or Claude Sonnet 4.6 instead.

Pricing
$0.30/1M in
$2.50/1M out
→0%since May 2026
Context
1.0M tokens
Speed
Very fast

Output cost ($2.5/1M) is disproportionately higher than input cost ($0.3/1M), so generation-heavy use cases may see costs add up faster than expected. Thinking/reasoning mode may be available but incurs additional cost.

How to access
API
$0.3/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Fable 5
Cheaper option
Meta: Llama 3.1 8B Instruct
Faster option
Google: Gemini 2.0 Flash

Strengths

Massive 1M token context window at budget pricing — ideal for ingesting entire codebases or long documents

Strong multimodal capabilities including image and document understanding at a fraction of GPT-4o's cost

Excellent throughput and low latency for production workloads compared to Gemini 2.5 Pro

Competitive coding performance for a budget tier model, outperforming GPT-4o Mini on many benchmarks

Weaknesses

Noticeably behind Gemini 2.5 Pro, Claude Sonnet 4.6, and GPT-4o on complex multi-step reasoning tasks

Writing quality and nuance lag behind Claude Haiku 3.5 and GPT-4o Mini for creative or stylistically demanding outputs

Output cost of $2.5/1M tokens is higher than some competitors in the budget tier, reducing savings on generation-heavy pipelines

Real-world use cases

What people actually use Google: Gemini 2.5 Flash for.

Summarizing a 500-page legal contract or technical specification in a single API call

Building a RAG pipeline that ingests an entire codebase for automated code review

Extracting structured data from batches of scanned invoices or multimodal documents

Price History

Google: Gemini 2.5 Flash pricing over time

→0% since May 9

$0.324$0.312$0.300$0.288$0.276May 9May 18May 29Jun 7Jun 17Jun 26

48 data points · tracked daily since May 9, 2026

Ready to try it?

Start using Google: Gemini 2.5 Flash

High-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.. Start free — no card required.

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Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

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Similar models worth checking before you commit.

GoogleBudget

Google: Gemini 2.0 Flash

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.
View model
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
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.
View model
GoogleBudget

Gemma 4 31B

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.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

Google: Gemini 2.5 Flash — added to UseRightAI

Google: Gemini 2.5 Flash (Google) is now indexed. The go-to budget model for long-context and multimodal workloads where speed and scale matter.

View model

FAQ

What is Google: Gemini 2.5 Flash best for?

Google: Gemini 2.5 Flash is best for high-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.. 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?

You need high-quality creative writing, complex multi-step reasoning, or mathematical problem solving — use Gemini 2.5 Pro or Claude Sonnet 4.6 instead.

What is a cheaper alternative to Google: Gemini 2.5 Flash?

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?

Google: Gemini 2.0 Flash is the better pick when response time matters more than maximum depth or premium quality.

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