趋近智
技术规格
注意力结构
Multi-Head Attention
隐藏维度大小
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层数
-
注意力头
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键值头
-
激活函数
-
归一化
-
位置嵌入
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.
关于 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.
其他 GPT-5 模型
评估基准
排名
#23
| 基准 | 分数 | 排名 |
|---|---|---|
Coding LiveBench Coding | 0.76 | 10 |
Reasoning LiveBench Reasoning | 0.69 | 19 |
排名
排名
#23
编程排名
#24