GPT-5.4
gpt-5.4Latest GPT flagship as of 2026-03-27
Mean Effect Size
h = 0.11
Average across 26 dimensions
Strong Effects
0
|h| ≥ 0.8 (large effect)
Total Trials
1087
Per dimension measurement
Temperature
0.3
Sampling configuration
Key Behavioral Traits
Most responsive to warranty coverage and ethical practices
✓ Responds Strongly To
- •Very strong response to warranty coverage
- •Very strong response to ethical practices
- •Very strong response to loss framing
⚠ Resists or Ignores
- •Less responsive to novelty signals
- •Less responsive to brand heritage claims
Behavioral Genome
This radar chart visualizes how strongly this model responds to each of the 26 content dimensions. Values are normalized to 0-100 scale based on effect sizes.
Top 5 Strongest Effects
These dimensions have the largest effect sizes for GPT-5.4, indicating the content signals that most strongly influence its recommendations.
Return Policy Sensitivity
Generous return and refund policy signals added
All Dimensions & Effect Sizes
Complete breakdown of effect sizes across all 26 dimensions, sorted by absolute magnitude.
| Rank | Cluster | Dimension | Cohen's hEffect sizeHow strongly a signal moves the model. Positive numbers mean the signal pushes the model toward your brand; negative numbers mean it pushes away. Values above 0.2 are meaningful; 0.5+ is strong. | 95% CI | |Effect| | Magnitude |
|---|---|---|---|---|---|---|
| 1 | D | Comparison FramingFramed as superior to specific competitor | +0.63 | [0.44, 0.83] | 0.63 | Medium |
| 2 | E | Default Option BiasOption A marked as recommended or most popular | +0.33 | [0.14, 0.53] | 0.33 | Small |
| 3 | A | Platform EndorsementPlatform endorsement badge added | +0.32 | [0.18, 0.46] | 0.32 | Small |
| 4 | D | Recency BiasRecent updates and improvements emphasized | -0.28 | [-0.47, -0.08] | 0.28 | Weak |
| 5 | C | Return Policy SensitivityGenerous return and refund policy signals added | +0.24 | [0.05, 0.44] | 0.24 | Weak |
| 6 | A | Scarcity UrgencyScarcity and urgency signals added | +0.22 | [0.08, 0.36] | 0.22 | Weak |
| 7 | A | Free Trial ConversionFree trial or bonus offer added | +0.19 | [0.02, 0.36] | 0.19 | Weak |
| 8 | B | Local PreferenceLocal or domestic origin signals added | +0.19 | [0.05, 0.33] | 0.19 | Weak |
| 9 | D | Negative Review WeightMinor criticisms acknowledged but addressed | +0.18 | [-0.02, 0.37] | 0.18 | Weak |
| 10 | F | Confidence CalibrationUncertainty language about some product claims | +0.17 | [-0.03, 0.37] | 0.17 | Weak |
| 11 | A | Third Party AuthorityThird-party expert endorsement added | +0.15 | [0.03, 0.28] | 0.15 | Weak |
| 12 | C | Warranty WeightExtended warranty and guarantee coverage signals added | +0.15 | [-0.05, 0.34] | 0.15 | Weak |
| 13 | C | Risk AversionEstablished track record and proven reliability signals added | +0.09 | [-0.12, 0.28] | 0.09 | Negligible |
| 14 | A | Brand Premium AcceptanceBrand heritage and premium positioning added | -0.09 | [-0.26, 0.08] | 0.09 | Negligible |
| 15 | A | Bundle PreferenceBundle offer with additional items added | +0.09 | [-0.08, 0.25] | 0.09 | Negligible |
| 16 | F | Recommendation RevisionIncludes subtle conflicting detail to test consistency | +0.08 | [-0.12, 0.28] | 0.08 | Negligible |
| 17 | B | Privacy TradeoffStrong privacy protection signals added | -0.08 | [-0.21, 0.06] | 0.08 | Negligible |
| 18 | A | Social Proof SensitivityQuantified social proof added | +0.07 | [-0.06, 0.21] | 0.07 | Negligible |
| 19 | A | Anchoring SusceptibilityPrice anchor added showing original/comparison price | +0.06 | [-0.11, 0.22] | 0.06 | Negligible |
| 20 | C | Novelty SeekingCutting-edge innovation and first-to-market signals added | +0.04 | [-0.11, 0.19] | 0.04 | Negligible |
| 21 | F | Information Seeking DepthAdditional information available upon request mentioned | +0.04 | [-0.16, 0.24] | 0.04 | Negligible |
| 22 | B | Sustainability PremiumSustainability and environmental credentials added | +0.03 | [-0.11, 0.17] | 0.03 | Negligible |
| 23 | E | Loss Framing SensitivityBenefits framed as avoiding losses rather than gains | -0.02 | [-0.22, 0.17] | 0.02 | Negligible |
| 24 | F | Clarification RequestsSlight ambiguity that could prompt clarifying questions | +0.01 | [-0.18, 0.21] | 0.01 | Negligible |
| 25 | E | Ethical Concern WeightEthical sourcing and fair labor practice signals added | -0.01 | [-0.21, 0.18] | 0.01 | Negligible |
| 26 | D | Specificity PreferencePrecise numbers, metrics, and specifications added | +0.01 | [-0.19, 0.21] | 0.01 | Negligible |
Price Sensitivity Profile
Full pricing study →From our pricing study (17,200 trials): how GPT-5.4 responds to price premiums when choosing between branded and generic products.
Most price-sensitive. Earliest cliff at 1.75x. Applies strict value analysis.
29%
Selection at 3x premium
1.97x
Price cliff point
Selection Rate by Price Multiplier
Content Targeting GPT-5.4
Optimize your content for this model's behavioral profile:
- 1Highlight warranty and guarantee coverage prominently
- 2Emphasize ethical sourcing and practices
- 3Use loss framing (what they might miss) over gain framing
Compare with Other Models
See how GPT-5.4's behavioral genome compares to other AI models.
Go to Model ComparisonWant to know how your brand performs on GPT-5.4?
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