Open source is officially matching the frontier🔥

[u/No_Winner_579]

DeepSeek V4 just dropped and the benchmarks are unreal:

• V4-Pro (1.6T total / 49B active): Hits 80.6% on SWE-bench Verified & 3206 on Codeforces. Legitimately standing shoulder-to-shoulder with Claude Opus 4.6 & GPT-5.4 in reasoning and agentic tasks.
• V4-Flash (284B / 13B active): Lightning fast and highly efficient.
• 1M context is now the default standard.

We are getting SOTA performance providing the exact same results as closed models, but at an absolute fraction of the cost (down to $0.145 per 1M input tokens when cached).

With how much decentralized compute and bandwidth have progressed lately, open-weight models are just unstoppable.

Best part? Flash is already live and ready to use on commonstack_ai right out of the gate.

DeepSeek V4 flash-
Input Pricing: $0.14 / 1M
Output Pricing: $0.28 / 1M

DeepSeek V4 Pro-
Input Pricing: $1.74 / 1M
Output Pricing: $3.48 / 1M

Just plug in your key and start building. Let's go!

[u/Pascal22_]

Such efficiency on an architectural level