← Back to models
Google
↗↗↗↗
Gemini 2.5 Flash
Google’s price-performance Gemini 2.5 tier for low-latency, high-volume reasoning work.
Overall score
88
fastmultimodalprice-performance
Context window
1M tokens
Speed
Fast
Input pricing
$0.30 / 1M text-image-video input tokens
Output pricing
$2.50 / 1M output tokens
Score breakdown
Capability86
Use-case fit89
Cost efficiency91
Speed92
Reliability87
Agent readiness88
Ecosystem91
Scores combine benchmark signals, product experience, and editorial weighting. Use them as a practical guide, not an absolute truth claim.
Best for
Agent automationResearch
Works with
Gemini APIVertex AIgrounded search flows
Modalities
textimageaudiovideo
Sources & trust
Officially verified core fields
Official linkSummaryDescriptionModalitiesModality profileContext windowPricingPricing pageTool support
Editorial fields such as shortlist guidance, strengths, caveats, and scoring remain clearly separated from official provider data.
Google AI for Developers
Official site · Tier 5 · Apr 9, 2026
Official link
Gemini 2.5 Flash model docs
Official docs · Tier 5 · Apr 9, 2026
SummaryDescriptionModalitiesModality profileContext window
Gemini API pricing
Pricing page · Tier 5 · Apr 9, 2026
PricingPricing pageTool support
Gemini 2.5 Flash VerdictLens review
Manual review · Tier 3 · Apr 9, 2026
Best-fit guidanceWorks-with guidanceStrengthsCaveatsOverall scoreScore breakdown
Last verified: Apr 9, 2026
Strengths
- Attractive cost-performance profile for multimodal workloads.
- Useful when teams want one vendor for search-grounded and multimodal flows.
Things to watch
- May need careful prompt and product tuning for complex agent patterns.
- Ecosystem examples are not as ubiquitous as OpenAI defaults.
Best for
Research synthesis & analyst workflows
Prioritize source grounding, multilingual reading, long-context reasoning, and a retrieval stack that stays inspectable.
Agent automation & operations
Prioritize tool reliability, composability, secret handling, and robust state management across long-running flows.