DeepSeek moved the V4-Flash API into public beta on July 31, added native Responses API support, and published its own documentation for wiring the model into OpenAI Codex.
MiniMax M3 arrives with a 1M-token context window, agentic coding support, and an open-weight promise. The launch separates API access from verification work.
MiniMax M3 combines 1M context, multimodality, and coding-agent benchmarks, but its weights and technical report are still pending verification.
The Reasonix debate shows that coding agent costs depend not only on model pricing, but on harness design that keeps prefix cache intact.
DeepSeek is turning V4-Pro API discount pricing into the new baseline, forcing agent builders to recalculate inference cost and routing strategy.
Alibaba Qwen3.7-Max is not just a model launch. It packages agents, custom chips, 128-accelerator racks, and cloud runtime into one stack.
Baidu proposed Daily Active Agents as a core AI-era metric. The useful question is not token volume, but how many agents actually complete work.
China’s new AI agent guidance moves beyond chatbot rules toward registration, identity, interoperability, permissions, traceability, and an intelligent internet.
Baidu proposed Daily Active Agents at Create 2026. The platform race is moving from token consumption toward agents that actually complete work.
MiniMax M2.7 uses a self-evolution loop around OpenClaw, activates only 10B of 230B parameters, and challenges premium coding models on price, benchmarks, and licensing.
Alibaba released Qwen3.6-Plus for agentic coding with a 1M-token context window, free preview access, and a closed-source strategy that changes how builders should read Qwen.
StepFun Step 3.5 Flash activates only 11B parameters inside a 196B MoE model, posts strong math and coding benchmarks, and ships as Apache 2.0 open weights.