GPT-5 Mini
Parameters
-
Context Length
400K
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 Mini
Efficient GPT-5 model optimized for cost-performance balance with strong capabilities across general tasks. Good coding performance (76.07 LiveBench Coding) and solid reasoning abilities. Suitable for high-volume applications where cost efficiency is important while maintaining quality results. Features reduced latency and lower operational costs.
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
#25
| Benchmark | Score | Rank |
|---|---|---|
Summarization ProLLM Summarization | 0.98 | 4 |
Coding LiveBench Coding | 0.76 | 10 |
StackUnseen ProLLM Stack Unseen | 0.82 | 11 |
Reasoning LiveBench Reasoning | 0.69 | 19 |
Graduate-Level QA GPQA | 0.82 | 40 |
Rankings
Overall Rank
#25
Coding Rank
#25