DeepSeek releases V4.1-Flash-1017, a 763B-parameter model that improves coding benchmarks by 35%, reduces per-task cost from ¥3.3 to ¥1.3, and enables 'wish-style programming' for building games and 3D scenes with minimal prompts, while launching a paid search API at ¥0.005 per request.
DeepSeek releases V4.1 Flash 1017 with better performance and lower cost, introduces wish-style programming via self-feedback RL for building 3D projects and games from minimal prompts, opens self-developed Search and Fetch APIs at 5 yuan per 1000 calls, and open-sources model weights on HuggingFace and ModelScope.
The article reviews the developer preview of DeepSeek Harness's official desktop client, highlighting its plugin-based architecture powered by Cordis, deep integration with DeepSeek V4.1 Flash model achieving 99% cache hit rate, and comparative performance against other harness integrations like Pi Agent.
DeepSeek V4.1 Flash introduces a new asymmetric Causal Encoder-Decoder architecture with 552B MoE parameters, reducing KV cache HBM demand by 75% and SSD demand by 87.5% while adding native multimodal vision and speculative decoding.
