DeepSeek V3.1 (Non-reasoning)
描述
DeepSeek-V3.1 is a hybrid model supporting both thinking and non-thinking modes through different chat templates. Built on DeepSeek-V3.1-Base with a two-phase long context extension (32K phase: 630B tokens, 128K phase: 209B tokens), it features 671B total parameters with 37B activated. Key improvements include smarter tool calling through post-training optimization, higher thinking efficiency achieving comparable quality to DeepSeek-R1-0528 while responding more quickly, and UE8M0 FP8 scale data format for model weights and activations. The model excels in both reasoning tasks (thinking mode) and practical applications (non-thinking mode), with particularly strong performance in code agent tasks, math competitions, and search-based problem solving.
能力雷达图
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
Biology
Code
Factuality
Finance
General
Math
Reasoning
AA 评测指数
(Artificial Analysis)LLM Stats 分类评分
(LLM Stats (zeroeval))定价
速度
供应商价格排行
供应商价格排行
2 个供应商
比较该模型在不同 API 供应商之间的定价。