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Kimi K3 Is Now Available on AIMOWAY

We’ve added Kimi K3 to AIMOWAY.

Kimi K3 is a 2.8T-parameter open-weight model from Moonshot AI, with native vision, a context window of up to 1 million tokens, and a strong focus on coding, reasoning, knowledge work, and long-horizon agentic workloads.

What makes it especially interesting to us is where it fits in the economics of agent systems.

As agent workflows grow, the question is increasingly not just “Which model is strongest?” but “Which model gives this particular task enough capability at a sensible operating cost?”

That becomes important when one user request can fan out into planners, workers, reviewers, tool calls, retries, and validation steps.

Current AIMOWAY pricing for Kimi K3:

Cached input: $0.275 / 1M tokens
Input: $2.75 / 1M tokens
Output: $13.30 / 1M tokens

It’s available through AIMOWAY’s OpenAI-compatible API for developers, AI agent builders, and production workflows:

https://aimoway.com

I’d be interested to hear how others building agent systems are thinking about models like Kimi K3.

Are you evaluating them mainly as alternatives to flagship models, assigning them to particular agent roles, or using different model tiers across the same workflow?

on August 14, 2026
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    The pricing details make this more useful than a typical model announcement. Curious how developers actually compare Kimi K3 against the other models they already use.

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      That's exactly the comparison I think matters.

      For agent workflows, I'd look beyond benchmark scores and compare models on representative tasks: whether they reliably clear the required quality threshold, how they handle the context and tool use the workflow actually needs, and what that level of performance costs at production volume.

      A model doesn't necessarily have to beat the strongest model overall to be the better choice for a particular agent role. That task-model fit is becoming increasingly important as one workflow starts making many model calls.

      I wrote up a longer version of this model-allocation idea here, with a simple cost comparison across different model tiers: https://aimoway-lab.github.io/blog/articles/do-all-your-agents-really-need-models-like-claude-5-or-gpt-5-6/