GPT-5 Nano High
Parameters
-
Context Length
131K
Modality
Text
Architecture
Dense
License
Proprietary
Release Date
13 Nov 2025
Knowledge Cutoff
-
Technical Specifications
Attention Structure
Multi-Head Attention
Hidden Dimension Size
-
Number of Layers
-
Attention Heads
-
Key-Value Heads
-
Activation Function
-
Normalization
-
Position Embedding
Absolute Position Embedding
GPT-5 Nano High
Highly efficient compact model designed for resource-constrained scenarios while maintaining respectable performance. Balanced capabilities across reasoning, coding, and language tasks. Ideal for edge deployment, high-throughput applications, or scenarios where latency and cost are critical factors. Delivers good value for lightweight AI applications.
About GPT-5
OpenAI's latest generation of language models featuring advanced reasoning capabilities, extended context windows up to 400K tokens, and specialized variants for coding, general intelligence, and efficiency. GPT-5 series introduces improved thinking modes, superior performance across benchmarks, and variants optimized for different use cases from high-capacity Pro models to efficient Nano models. Features native multimodal understanding, enhanced mathematical reasoning, and state-of-the-art coding abilities through Codex variants.
Other GPT-5 Models
Evaluation Benchmarks
Rank
#33
| Benchmark | Score | Rank |
|---|---|---|
Summarization ProLLM Summarization | 0.95 | 🥉 3 |
Coding LiveBench Coding | 0.67 | 37 |
Reasoning LiveBench Reasoning | 0.40 | 46 |
Mathematics LiveBench Mathematics | 0.58 | 47 |
Rankings
Overall Rank
#33
Coding Rank
#39