Together AI says Kimi K3 targets long tool-heavy agent workflows with 1M context
togethercompute · x · 2026-07-28
Together AI says Kimi K3 is built for long-running agent workflows and gives developers a production path for heavy tool use.
The model is described as a 2.8T-parameter sparse MoE with a 1M-token context window, native vision for screenshot-guided coding, repository navigation, and terminal tool use. Together also highlights US-based infrastructure and zero data retention.
Related event: Moonshot's Kimi K3 Flagship Model Launches on Together AI(12 posts)→
More from Infra
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11
- LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
- PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11
- Can a 7900 XTX 24GB run Qwen locally? Reddit seeks ROCm tok/s benchmarks — thenomadexplorerlife · 2026-09-11
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11