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OpenAI · premium

Is GPT-4o good?

GPT-4o has been tested across 1 task areas. It's strongest at landing pages. It's a premium option ($12.5/1M tokens).

Top-3 finishes
1/22
Task areas tested
$12.5
Per 1M tokens
Slow
Typical speed

Our take

GPT-4o is a premium-tier model that we tested across 1 task areas. It performs best at Landing Pages.

Strengths

Objection coverage Clarity

Weak spots

Differentiation Specificity Structure Credibility Risk handling Tone

How GPT-4o 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
Landing Pages #55 of 56

Industry benchmarks

Standardized third-party scores, shown for context — these are independent of our real-task tests.

Design Arena — human preference (avg Elo 925)

3d 947 dataviz 901 gamedev 973 website 875 uicomponent 941 codecategories 911

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 GPT-4o any good?

GPT-4o places top-3 in 0 of 1 task areas we benchmarked. It performs best at Landing Pages.

What is GPT-4o best at?

Its strongest task areas are Landing Pages.

Is there a cheaper alternative to GPT-4o?

DeepSeek V3.2 is 95% 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.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s