The DeepSeek-V4-Flash-0731 model outperforms GLM 5.2 while maintaining the same pricing as its predecessor.
- The model achieves superior performance compared to GLM 5.2.
- It retains the same cost structure as the previous version.
The DeepSeek-V4-Flash-0731 model outperforms GLM 5.2 while maintaining the same pricing as its predecessor.
The new DeepSeek V4-Flash model has achieved a score of 50 on the ArtificialAnalysis Index. This result places it just one point below GLM-5.2 and GPT-5.6 Luna.
DeepSeek has updated its V4 Flash model, releasing a new version on 2026-07-31 that shows significant performance gains over the previous preview. The update introduces results for several new benchmarks while improving scores on existing ones.
A comparison of three open-weight sparse Mixture-of-Experts models—Moonshot AI's Kimi K3, DeepSeek V4 Pro, and Zhipu AI's GLM-5.2—evaluates their capabilities, licensing terms, and serving costs for long-horizon coding and agent workloads.
A user with access to a new version of DeepSeek V4 through A/B testing successfully created a hybrid game combining elements of No Man's Sky and Minecraft using only one-shot programming. The resulting source code and chat logs have been shared publicly, demonstrating the model's capability in this specific context. This demonstration serves as a counter-argument to claims that one-shot programming is useless for benchmarking purposes.
A user reports deploying DeepSeek V4 Flash using the DSpark speculative decoding algorithm within SGLang on HGX-H200 hardware, comparing its performance against the Marlin MoE backend and EAGLE.
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