Frontier-grade inference APIs for open source models.

Joined February 2024
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Kimi K2.7 Code is now live on Mixlayer. Frontier-grade agentic intelligence at a fraction of the cost: $0.75/1M input, $3.50/1M output. Moonshot's latest model significantly improves instruction compliance and long-horizon coding performance compared to K2.6 while also using far fewer tokens, 30% less on average!
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Introducing Analytics, now generally available. Teams can now get a real-time view of inference traffic, including request volume, error rates, token usage, model-level breakdowns, tool calls, and more. Want to see what production-grade inference observability looks like? We’d love to show you, sign up today and get started for free at mixlayer.com.
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mixlayer retweeted
1/ Today, I'm excited to announce ✨Mixlayer✨. Two years ago, I reoriented my life around a singular mission: to build the best inference platform for open source AI.
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Hello Mixlayer.
1/ Today, I'm excited to announce ✨Mixlayer✨. Two years ago, I reoriented my life around a singular mission: to build the best inference platform for open source AI.
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mixlayer retweeted
100% I'm demoing this difference using @getmixlayer several times a week at this point 🙌 Qwen3 8B is my goto demo for tool calling and reasonable cost reasoning on Mixlayer, but I wouldn't dare demo Together's implementation because of how inconsistent it is at reasoning and tool calling
11 Oct 2025
I agree that this is a huge problem for OSS models right now. Working really hard to ensure @getmixlayer is on par with reference implementations. If anyone tries our models out and notices issues like this, please reach out to me directly!
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