GPT-5.4
vgpt-5-4-2026-03-05OpenAI
OpenAI's previous-generation flagship (superseded by GPT-5.5 in April 2026 and the GPT-5.6 family in July 2026). Fully supported with no announced shutdown; gpt-5.4-mini and gpt-5.4-nano are OpenAI's designated replacements for retiring GPT-5 mini/nano and gpt-4.1-nano. Headline native computer use with 75% OSWorld-Verified, ~33% fewer factual errors than GPT-5.2, ~1.05M context. Thinking, Pro, mini, and nano variants.
Trust Vector Analysis
Dimension Breakdown
🚀Performance & Reliability+
Strong generation defined by native computer use (75% OSWorld-Verified, +27.7 points over GPT-5.2) and a ~33% factual-error reduction. Superseded by GPT-5.5 six weeks after release.
Industry-standard coding benchmarks and provider-reported comparisons
PhD-level and Olympiad-level reasoning benchmarks
Computer-use benchmarks and factual accuracy testing
Internal testing across model variants
Median latency for API requests with standard prompt sizes
95th percentile response time across diverse workloads
Official specification from provider
Historical uptime data from official status page
🛡️Security+
Solid security posture with computer-use-specific guardrails. Native computer use expands the attack surface (UI-based injection) relative to text-only models.
Testing against OWASP LLM01 prompt injection attacks
Adversarial prompt testing against jailbreak datasets
Analysis of privacy policies and data handling practices
Safety testing across harmful content categories
Review of API security features and best practices
🔒Privacy & Compliance+
Standard OpenAI enterprise posture: SOC 2, no API-data training by default, zero-data-retention options. Not HIPAA eligible.
Review of enterprise documentation
Policy review of data usage terms
Terms of service and enterprise documentation review
Review of data protection capabilities
Verification of compliance certifications
Enterprise feature review
👁️Trust & Transparency+
Marked transparency improvement via the ~33% factual-error reduction. Computer-use action logging aids auditability of agentic runs.
Evaluation of reasoning transparency and explanation capabilities
Factual accuracy testing on QA datasets
Bias benchmarks and demographic testing
Qualitative assessment of confidence expression in outputs
Documentation completeness and clarity review
Review of public disclosures about training data
Analysis of built-in safety mechanisms
⚙️Operational Excellence+
Excellent operational maturity with the full variant family. Procurement caveat: superseded by GPT-5.5 only six weeks after release; plan migrations accordingly.
Review of API design, consistency, and feature completeness
SDK quality, documentation, and maintenance review
Review of versioning policy and historical deprecation practices
Review of available monitoring tools and metrics
Support and documentation assessment
Ecosystem breadth and depth analysis
Review of licensing terms and restrictions
- +Native computer use: 75% OSWorld-Verified (vs GPT-5.2's 47.3%)
- +~33% fewer factual errors than GPT-5.2
- +~1.05M token input context with 128K output
- +Full variant family: Thinking, Pro, mini, nano for cost/latency tiers
- +Better price-performance than GPT-5.5 ($2.50/$15 vs $5/$30)
- +Mature OpenAI ecosystem and tooling
- !Superseded by GPT-5.5 six weeks after release — previous-generation flagship
- !Input pricing doubles above 272K input tokens
- !Not HIPAA eligible
- !30-day default API data retention
- !Behind GPT-5.5 on reasoning and coding benchmarks (e.g., 75% vs 78.7% OSWorld-Verified)
- !Computer use expands prompt-injection attack surface
Use Case Ratings
code generation
Capable generalist coder with ~1.05M context, but GPT-5.3-Codex and GPT-5.5 lead on agentic coding benchmarks.
customer support
mini and nano variants give strong cost/latency tiers; ~33% fewer factual errors improves answer reliability.
content creation
Strong general writing with long-context coherence. Good value at $2.50/$15 vs GPT-5.5's $5/$30.
data analysis
Solid analytical reasoning with ~1.05M context for whole-dataset work; GPT-5.5 leads on frontier math.
research assistant
Reduced factual errors and very long context suit research; native computer use can drive live source gathering.
legal compliance
Good document analysis but not HIPAA eligible; 30-day default retention may be a concern.
healthcare
Not HIPAA eligible. Improved factuality helps clinical documentation but privacy controls remain a gap.
financial analysis
Strong quantitative reasoning at lower cost than GPT-5.5; computer use enables workflow automation across financial tools.
education
Reliable explanations with fewer factual errors; nano/mini tiers economical for high-volume tutoring.
creative writing
Capable narrative writing and good instruction following; flagship successors edge it on nuance.