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.
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
Monthly cost estimate
See what Google: Gemini 2.5 Flash actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.300
Output cost
$1.25
Total / month
$1.55
Based on Google: Gemini 2.5 Flash API pricing: $0.3/1M input · $2.5/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Google: Gemini 2.5 Flash pricing over time
→0% since May 9
4 data points · tracked daily since May 9, 2026
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High-volume document processing, summarization, and coding assistance where cost and speed matter more than peak accuracy.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
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
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.
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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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.
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
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.
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.
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.
