Cost
OpenAI API · as of 2026-05-21
Why people cared
GPT-4o was the May 2024 release that established native multimodal as the closed-frontier standard. "o" stood for "omni": a single pretrained backbone handling text, audio, and vision tokens, rather than separate models stitched together with adapters. The real-time voice mode pushed conversational latency below 400ms, a threshold past which interactions feel synchronous rather than turn-based, and the demo that accompanied the launch became the reference point for what AI voice products were expected to feel like. Pricing dropped to $2.50 per million input tokens and $10 per million output, a roughly 12x reduction from the original GPT-4. The open-weights world spent the second half of 2024 chasing this combination: Llama 3.1, Qwen 2.5, and DeepSeek V3 all positioned themselves as cheaper or comparable on text, but native multimodal at GPT-4o's latency remained out of reach until well into 2025. The model also became the default backend for ChatGPT free users, which made its capabilities and quirks visible to a global user base in a way no prior frontier model had been.
Architecture
data/models.yaml. Every label is auditable
against the model's sources.
Specs
- Architecture
- unknown
- Total params
- not disclosed
- Active params
- not disclosed
- Context window
- not verified
- Attention
- unknown
- Position encoding
- unknown
- Post-training
- rlhf
- OSI-approved
- no
- Data released
- no
- Training code
- not released
Benchmarks
Each score carries the date it was published; we never infer or interpolate missing scores.
General reasoning
| MMLU-Pro | 74.8 | as of 2026-05-21 | source ↗ |
| GPQA-Diamond | 54.3 | as of 2026-05-21 | source ↗ |
Code
| LiveCodeBench | 30.9 | as of 2026-05-21 | source ↗ |
Recommended use cases
- multimodal chat
- voice interfaces
- general-purpose API workloads
Available quantizations
None. The weights are not distributed, so there are no public quantizations.
Notable innovations
- · Native audio+vision+text training
- · Sub-400ms voice latency
Known limitations
- · Architecture and training data not disclosed; benchmarks reflect what OpenAI chose to publish. source ↗
Lineage
Successor to GPT-4 in OpenAI's product line; trained as a new native-multimodal pretrain not as a fine-tune of GPT-4.