Gate News message, April 24 — V4 has publicly disclosed internal dogfooding data for its V4-Pro model. The company collected approximately 200 real-world engineering tasks from over 50 engineers, covering feature development, bug fixes, refactoring, and diagnostics across tech stacks including PyTorch, CUDA, Rust, and C++. After rigorous filtering, 30 tasks were retained for the benchmark evaluation.
V4-Pro-Max achieved a 67% coding pass rate, significantly outperforming Sonnet 4.5 at 47% and approaching Opus 4.5 at 70%. However, it trails Opus 4.5 Thinking (73%) and Opus 4.6 Thinking (80%), while substantially exceeding Haiku 4.5 at 13%.
In an internal survey with 85 respondents, all participants reported using V4-Pro for agentic coding in daily workflows. 52% endorsed V4-Pro as their default primary coding model, 39% leaned toward approval, and less than 9% expressed disapproval. Reported issues included low-level errors, misinterpretation of ambiguous prompts, and occasional over-thinking behavior.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
DeepSeek releases the V4 open-source preview, with a technical score of 3206 surpassing GPT-5.4
DeepSeek officially launched the V4 preview series on April 24, with open-sourced model weights under the MIT license, and the model weights have been also released on Hugging Face and ModelScope. According to the DeepSeek V4 technical report, V4-Pro-Max (the highest inference intensity mode) scored 3206 points on the Codeforces benchmark, surpassing GPT-5.4.
MarketWhisper2m ago
Cambricon Completes Day 0 Adaptation of DeepSeek-V4, Marking Milestone for China's AI Chip Ecosystem
Gate News message, April 24 — Cambricon announced today that it has completed Day 0 adaptation of DeepSeek-V4, the latest large language model from DeepSeek, using its proprietary NeuWare software ecosystem and vLLM framework. The adaptation code has been open-sourced simultaneously, marking the
GateNews19m ago
Tencent open-sourced Hy3 preview version, code benchmark tests improved by 40% over the previous generation
Tencent officially open-sourced the Hy3 preview version of a large language model on April 23 on GitHub, Hugging Face, and the ModelScope platform, and simultaneously provided paid API service via Tencent Cloud. According to Decrypt’s report on April 24, the Hy3 preview version began training in late January and reached the publication calendar in less than three months.
MarketWhisper26m ago
FTX Portfolio Investments Worth 158 Trillion Won If Not Bankrupt
FTX, the centralized cryptocurrency exchange that filed for Chapter 11 bankruptcy protection in November 2022 due to liquidity shortages and capital outflows, would have held investments valued at approximately 158.796 trillion won if it had not collapsed, according to analysis cited by Park
CryptoFrontier29m ago
Xiaomi Reveals MiMo-V2-Pro Training Details: 1T Model Parameters, Thousands of GPUs Deployed
Gate News message, April 24 — Xiaomi's large language model team lead Luo Fuli disclosed in an in-depth interview that the MiMo-V2-Pro model has 1 trillion parameters in total and required thousands of GPUs for training. She noted that the 1T scale represents the minimum threshold to achieve
GateNews43m ago
DeepSeek V4 Achieves Perfect Score on Putnam-2025, Ties with Axiom in Formal Math Reasoning
Gate News message, April 24 — DeepSeek V4 has published results from formal mathematical reasoning evaluations, achieving a perfect score of 120/120 on Putnam-2025, tying with Axiom for first place.
In the practical regime using LeanExplore and constrained sampling, V4-Flash-Max scored 81.00 on the
GateNews51m ago
