Quick answer. GPT-4o carries a weighted score of 84, speed of 95, adoption of 99 and privacy of 80. The published API rate is $2.50 in and $10 out per million tokens. It is not self-hostable. Choose it when real-time voice, image analysis or fast throughput is the job, not when you need the newer GPT-5.4 task mark of 92.
GPT-4o is the OpenAI multimodal workhorse in the published Best AI Match dataset, ranked 8 of 21 with a weighted score of 84. This profile decides whether speed, voice and image jobs justify staying on the 4o rate card instead of moving to GPT-5.4. It is not a nostalgia page and it does not invent a private benchmark. Speed is 95. Adoption ease is 99, the highest adoption mark in the set. Integration quality is 97. Task performance is 84, below GPT-5.4's 92 on the same dataset. Privacy is 80 and Truth Score is 80. Context is a 128,000-token window, scored 78. The model is not self-hostable, jurisdiction is the United States, and API rates are $2.50 per million input tokens and $10 per million output tokens. GDPR, HIPAA and SOC 2 are marked true. Perspective Score is minus 13 and is excluded from the weighted score. Best-fit jobs in the record are real-time voice, image analysis, customer service and fast throughput. Hold those factors against the job, then use the match engine if privacy or a higher task score should outweigh multimodal speed.
Where GPT-4o still fits a business job
The dataset's best-fit list is real-time voice, image analysis, customer service and fast throughput. Speed 95 and adoption 99 are the reason a team already shipping multimodal OpenAI traffic often keeps 4o on that path. That is a job-fit argument, not a claim that rank 8 beats every newer OpenAI row. Customer-service tone work should also be read against best AI for customer service and the sibling profile for GPT-5.4 when task score dominates.
| Decision lens | Published figure |
|---|---|
| Weighted score (rank 8 of 21) | 84 |
| Task performance | 84 |
| Speed | 95 |
| Cost efficiency | 77 |
| API price, input / output per million | $2.50 / $10 |
| Context window (context score 78) | 128,000 |
| Privacy | 80 |
| Truth Score | 80 |
| Perspective Score (not in the weighted score) | −13 |
| Integration / adoption | 97 / 99 |
Figures from /data/ai-comparison-2026.json. Last verified 2026-06-26. Scoring version v1.0. Affiliate links are off.
Cost at the published API rate
Cost efficiency is 77. The rate card is $2.50 per million input tokens and $10 per million output tokens, cheaper on output than GPT-5.4's $15. A high adoption score does not make the invoice small when agents multiply calls. Model a real month in the token cost calculator and compare the wider price set on cheapest AI API before a volume commitment.
Privacy, compliance and jurisdiction
Privacy is 80. GDPR, HIPAA and SOC 2 are marked true. Jurisdiction is the United States, and the model is not self-hostable, so the data boundary is the provider's US-hosted API. HIPAA true is a compliance flag in this dataset, not permission to ship clinical answers without a reviewer. The data privacy checklist is the companion control.
Truth and perspective stay separate
Truth Score is 80. Perspective Score is −13 on the site's −50 to +50 scale and is excluded from the composite, as explained on the Perspective Score page. A lean is a disclosure, not a quality penalty. The official product page is openai.com/gpt-4o. That link is not an affiliate link.
Match it to the job. The match engine weighs task, budget and privacy. Compare GPT-5.4 when task score matters more, or return to the model index.
FAQ
What is GPT-4o's weighted score?
GPT-4o has a weighted score of 84 and is ranked 8 in the published Best AI Match dataset, last verified 2026-06-26.
How much does the GPT-4o API cost?
The dataset lists $2.50 per million input tokens and $10 per million output tokens.
Is GPT-4o self-hostable?
No. The published record marks GPT-4o as not self-hostable, with United States jurisdiction.