DeepSeek v4 works fine, but it’s not the frontier-pressing moment we saw with Kimi 2.6. On Notion eval data, it’s similar performance to GPT 5.2, with understandable failings. Most interesting — it doesn’t scale well. It’s ridiculously slow. On multiple major, trusted, and performant US inference providers we see it 15x slower than GPT 5.2 and 2x slower than Opus 4.7, a problem Kimi never had. Curious if it’s a fundamental issue in architecture, or a matter of time til inference providers make it work. Doesn’t seem urgent either way, if Kimi can outperform. Cheaper maybe, but not groundbreaking.

AI Gateway lets you route to any model. On May 13 in SF, we're hosting a builder night powered by those models. Pick one, build, demo. Audience votes on best build. With @AnthropicAI, @MiniMax_AI, & @Kimi_Moonshot Sign up ↓

Results on the remainder of our benchmarks are in for Kimi K2.6, the new #1# open-weight model on the Vals Index (#8# overall) Kimi K2.6 is competitive with many closed-weight models, at a fraction of their price.

🎁 Here's a new limited-time top-up reward. Grab bonus vouchers and keep exploring Kimi K2.6. 🔹20% bonus for $100 – $299 🔹25% bonus for $300 – $999 🔹30% bonus for $1,000+ Ends May 3. 🔗Details: