趋近智
GPT-5 Nano High
参数
-
上下文长度
131K
模态
Text
架构
Dense
许可证
Proprietary
发布日期
13 Nov 2025
训练数据截止日期
-
技术规格
注意力结构
Multi-Head Attention
隐藏维度大小
-
层数
-
注意力头
-
键值头
-
激活函数
-
归一化
-
位置嵌入
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.
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
#33
| 基准 | 分数 | 排名 |
|---|---|---|
Summarization ProLLM Summarization | 0.95 | 🥉 3 |
Coding LiveBench Coding | 0.67 | 37 |
Reasoning LiveBench Reasoning | 0.40 | 46 |
Mathematics LiveBench Mathematics | 0.58 | 47 |
排名
排名
#33
编程排名
#39