Kimi K3 is a 2.8-trillion-parameter open-weights model with 1M context length, hybrid linear attention, and expert sparsity tuned to 2% activation—available via Together AI's OpenAI-compatible API.
Summary
Developers can now run frontier-class reasoning on long-context tasks (coding, document analysis, deep reasoning) without vendor lock-in. The model's efficient sparsity architecture makes deployment feasible for teams that need open weights with competitive inference speed.
Why it matters
Developers can now run frontier-class reasoning on long-context tasks (coding, document analysis, deep reasoning) without vendor lock-in. The model's efficient sparsity architecture makes deployment feasible for teams that need open weights with competitive inference speed.
Implementation verdict
Replaces the need to call closed-API reasoning models for long-horizon work. Requires Together AI account, standard Python SDK (together>=2.0.0), and familiarity with OpenAI chat API patterns. Ready to use now: supports streaming, structured output, vision, tools, and configurable reasoning effort (low/high/max). Start with `reasoning_effort="max"` for complex tasks, toggle `reasoning={"enabled": False}` for fast inference on simple queries.
Sources
Dev Signal
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