DeepSeek 发布 V4.1-Flash-1017：智能体任务表现超越更大模型，单任务成本再降
Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs
DeepSeek 又更新了，这次 V4.1-Flash-1017 跑智能体任务比更大的模型还强，成本还降了，还附带 Search API，Claude Code 里能免费用。
DeepSeek 发布开源权重模型 V4.1-Flash-1017，基准测试成绩超过前代，任务完成速度更快，输出更短。模型在智能体任务上击败更大的竞争对手，同时大幅削减单任务成本。DeepSeek 还开放内部搜索引擎，推出 Search 和 Fetch API，定价为每 1000 次调用 0.75 美元。在 Claude Code 和 Codex 等工具中使用 API 的用户目前可免费使用。
Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs
Deepseek has released V4.1-Flash-1017 as an open-weight model that posts better benchmarks, finishes tasks faster, and produces shorter outputs than its predecessor. The company is also opening up its internal search engine through new Search and Fetch APIs at $0.75 per 1,000 calls. API users in tools like Claude Code and Codex get free access for now. The article Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs appeared first on The Decoder .
