GPT-4o
OpenAI's omni-modal flagship model natively processing text, audio, images, and vision in real time.
128k
Tokens
16.384k
Output limit
Multimodal Transformer
Model family
Not Disclosed
Total / Active
$2.50
Per 1M tokens
$10.00
Per 1M tokens
Model Overview
GPT-4o (Omni) is OpenAI's versatile multimodal model featuring native omni architecture, ultra-fast response latency, 128k context window, structured JSON schema outputs with 100% adherence, and fine-tuning support.
Developer Implementation Notes
Supports Realtime Audio API with low latency WebRTC connection. Strict structured outputs ensure deterministic JSON schema matching.
Key Strengths
- Native omni-modal processing (audio, vision, text)
- Strict structured outputs (100% JSON schema validation)
- Fine-tuning available on text and vision datasets
- 50% prompt caching discount ($1.25/MTok)
Limitations & Boundaries
- Lacks deep chain-of-thought reasoning tokens (handled by o1/o3-mini)
- 128k context window is smaller than 2M on Gemini or 200k on Claude
Capabilities & Modalities
Best Production Use Cases
- Real-time voice and audio agents
- Enterprise structured JSON extraction pipelines
- Multimodal document and visual understanding
Verified Benchmark Results
Standardized evaluations with methodology notes and authoritative citation links.
88.5%
AST accuracy on single & multi-turn tool calling
Pricing & Inference Cost Calculator
Token Cost Estimator – GPT-4o
Calculate projected inference spend with prompt caching
Quick Workload Presets
$5.0000
2.00M input tokens
$5.0000
0.50M output tokens
$10.00
Avg: $0.01000 / req
Compare with Similar Models
Claude 3.7 Sonnet
Anthropic's first hybrid reasoning frontier model with dynamic thinking budget control and state-of-the-art coding capabilities.
Gemini 2.0 Pro (Experimental)
Google's flagship intelligence model engineered for complex coding, mathematical proofs, and 2M token context.
OpenAI o3-mini
Next-generation cost-efficient reasoning model optimized for STEM, competitive math, and coding.
Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.