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Idea Generation

Compare originality, usefulness, and variety of ideas generated by AI models.

In this genre, the main abilities being tested are Originality, Usefulness, Specificity.

Unlike brainstorming, this genre puts more weight on usefulness and specificity, not just on producing many different options.

A high score here does not guarantee that the model can prioritize, execute, or turn ideas into a detailed plan.

Strong models here are useful for

campaign ideas, product concepts, feature seeds, and practical starting points.

This genre alone cannot tell you

whether the model is best at selecting the right option, planning execution, or validating trade-offs.

Data analysis

Idea generation: GPT-5 leads on usefulness, the Gemini line lags

33 scored answers Idea Generation Updated 2026/6/7
1
GPT-5.4

OpenAI

84
Avg. score
100%
Win Rate
5× 1st place 5 samples
2
GPT-5.5

OpenAI

83
Avg. score
100%
Win Rate
1× 1st place 1 samples
3
Claude Haiku 4.5

Anthropic

80
Avg. score
67%
Win Rate
2× 1st place 3 samples

Average score by model

1 GPT-5.4
8.45
2 GPT-5.5
8.33
3 Claude Haiku 4.5
7.99
4 Claude Sonnet 4.6
8.23
5 GPT-5 mini
7.82
6 Gemini 2.5 Pro
7.82
7 Claude Opus 4.8
7.57
8 Gemini 2.5 Flash
6.68
9 Gemini 2.5 Flash-Lite
6.10

What we weighted

Originality 25% Usefulness 25% Specificity 20% Diversity 20% Clarity 10%

Across 30 scored answers the GPT-5 family takes the top two. GPT-5.4 ranks 1 and is the best-evidenced leader: 8.47 over 4 samples with 4 first places and a 100% win rate. GPT-5.5 follows at 8.33 on a single sample, so treat it as promising rather than proven. The genre weights Originality and Usefulness equally at 25 each, ahead of Specificity and Diversity at 20.

Anthropic sits in the upper-middle: Claude Sonnet 4.6 (8.23) actually outscores Claude Haiku 4.5 (7.99) on average, yet Haiku ranks 3 ahead of it on a 67% win rate versus 50%. As elsewhere, the ranking follows head-to-head wins, so a model with a higher average can sit below one that simply won more of its matchups.

The Gemini line is the clear weak spot: 2.5 Pro (7.82, 20% win), Flash-Lite (6.92, 0%) and Flash (6.68, 0%) trail the leaders by 0.6 to 1.8 points and rarely win an exchange. The gap suggests their ideas are judged as less original or less useful, the two highest-weighted criteria, rather than merely less numerous.

Samples run 1 to 5 per model, so the fine ordering is provisional and a handful of prompts can move any average. The 1.79-point spread is real, but these are condition-dependent measurements of ideation prompts, not a universal ranking of creativity.

Bottom line

For idea generation, GPT-5.4 is the most defensible pick (4 samples, 100% win, highest evidenced average). Claude Sonnet 4.6 is a solid second on quality. The Gemini line is hard to recommend for this use case today.

This analysis is derived from Orivel's measured benchmark scores for this genre and is updated periodically. Scores are condition-dependent measurements, not absolute truth.

Top Models in This Genre

This ranking is ordered by average score within this genre only.

Latest Updated: Jun 13, 2026 09:37

#1
GPT-5.4 OpenAI

Win Rate

100%

Average Score

84
#2
GPT-5.5 OpenAI

Win Rate

100%

Average Score

83
#3
Claude Haiku 4.5 Anthropic

Win Rate

67%

Average Score

80
#4
Claude Sonnet 4.6 Anthropic

Win Rate

50%

Average Score

82
#5
GPT-5 mini OpenAI

Win Rate

50%

Average Score

78
#6
Gemini 2.5 Pro Google

Win Rate

20%

Average Score

78
#7
Claude Opus 4.8 Anthropic

Win Rate

0%

Average Score

76
#8
Gemini 2.5 Flash Google

Win Rate

0%

Average Score

67
#9
Gemini 2.5 Flash-Lite Google

Win Rate

0%

Average Score

61

What Is Evaluated in Idea Generation

Scoring criteria and weight used for this genre ranking.

Originality

25.0%

This criterion is included to check Originality in the answer. It carries heavier weight because this part strongly shapes the overall result in this genre.

Usefulness

25.0%

This criterion is included to check Usefulness in the answer. It has meaningful weight because it affects quality in a visible way, even if it is not the only thing that matters.

Specificity

20.0%

This criterion is included to check Specificity in the answer. It has meaningful weight because it affects quality in a visible way, even if it is not the only thing that matters.

Diversity

20.0%

This criterion is included to check Diversity in the answer. It has meaningful weight because it affects quality in a visible way, even if it is not the only thing that matters.

Clarity

10.0%

This criterion is included to check Clarity in the answer. It is weighted more lightly because it supports the main goal rather than defining the genre by itself.

Recent tasks

Idea Generation

Anthropic Claude Opus 4.8 VS OpenAI GPT-5.4

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251
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339
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351
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