Google · budget
Is Gemini 2.5 Flash good?
Gemini 2.5 Flash has been tested across 1 task areas. It's strongest at landing pages. It's a budget-friendly option ($0.75/1M tokens).
Our take
Strengths
Weak spots
How Gemini 2.5 Flash ranks, task by task
Rank is the position in each field; Rating is the absolute quality bar. A model can be rated "Excellent" yet sit mid-table when the whole field is strong — and vice-versa.
| Task area | Rank | Percentile | Rating |
|---|---|---|---|
| Landing Pages | #49 of 56 |
|
Usable |
Industry benchmarks
Standardized third-party scores, shown for context — these are independent of our real-task tests.
Design Arena — human preference (avg Elo 1090)
Headline vs. real-world
Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29) · Source: Design Arena (www.designarena.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29)
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Frequently asked
Is Gemini 2.5 Flash any good?
Gemini 2.5 Flash places top-3 in 0 of 1 task areas we benchmarked. It performs best at Landing Pages.
What is Gemini 2.5 Flash best at?
Its strongest task areas are Landing Pages.
Is there a cheaper alternative to Gemini 2.5 Flash?
DeepSeek V3.2 is 24% cheaper and stays competitive on quality across our benchmarks.
How we test & rank
Each model is scored on real tasks across 1 task areas by an LLM judge with deterministic checks. "Percentile" is this model's standing within each area's field; the cross-area figures are rank-based so quality and Elo scores are never mixed.
This page is Spring Prompt, running
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals