🚀 Hello, Kimi K2! Open-Source Agentic Model!
🔹 1T total / 32B active MoE model
🔹 SOTA on SWE Bench Verified, Tau2 & AceBench among open models
🔹Strong in coding and agentic tasks
🐤 Multimodal & thought-mode not supported for now
With Kimi K2, advanced agentic intelligence is more open and accessible than ever. We can't wait to see what you build!
🔌 API is here: https://t.co/EOZkbOwCN4
- $0.15 / million input tokens (cache hit)
- $0.60 / million input tokens (cache miss)
- $2.50 / million output tokens
🔗 Tech blog: https://t.co/2RP7U3iakZ
🔗 Weights & code: https://t.co/4ukcXB0iP6
🔗 Github: https://t.co/B2bA4SfXBl
Try it now at https://t.co/85jA71X9gw or via API!
Kimi-k1.6-preview-20250308 just nailed SoTA on MathVista, MathVision, and Video-MMMU! Training is still ongoing, and the full release is just around the corner—exciting times ahead!
🚀 Introducing Kimi k1.5 --- an o1-level multi-modal model
-Sota short-CoT performance, outperforming GPT-4o and Claude Sonnet 3.5 on 📐AIME, 📐MATH-500, 💻 LiveCodeBench by a large margin (up to +550%)
-Long-CoT performance matches o1 across multiple modalities (👀MathVista, 📐AIME, 💻Codeforces, etc)
Tech report: https://t.co/rIgcCuXoJi
Key ingredients of k1.5
-Long context scaling. Up to 128k tokens for RL generation. Efficient training with partial rollouts.
-Improved policy optimization: online mirror descent, sampling strategies, length penalty, and others.
-Multi modalities. Joint reasoning over text and vision.
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Requesting 100 #SHM from the Shardeum faucet. https://t.co/MQ1eq19Jt3
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