DeepSeek just launched DeepSeek-V4-Pro into general availability, introducing major agent upgrades alongside flexible reasoning levels (low, high, and max) across V4-Pro and V4-Flash. It natively supports OpenAI's Responses API for Codex and rolls out off-peak API pricing that cuts token costs by 50%.
DeepSeek just officially released DeepSeek-V4-Flash-0731 with built-in DSpark speculative decoding. Thanks to heavy post-training, this lightweight model leapfrogs the larger V4-Pro preview across terminal and coding benchmarks, punching well into Opus 4.8 territory while fully open-sourced under an MIT license.
DeepSeek just launched and open-sourced DeepSeek-V4 Preview, making a 1M token context standard across its services. It delivers two MoE models—the flagship V4-Pro and the lightweight V4-Flash—built around hybrid compressed attention that slashes KV cache memory to just 2% of standard architectures. It basically tackles the persistent context blowout in long-running coding agents, and the new models are already live in chat and via API.
