We just added the Kimi K2 and Kimi K2 Turbo variants to Overchat AI. Kimi K2 and Kimi K2 Turbo. This model has generated a lot of hype on Reddit, with many users calling it the best AI model out there and praising its problem-solving and writing abilities.
Let's take a deep dive into this model, compare it with others like GPT 5 and Gemini 2.5 Pro, and see how it performs on benchmarks. We'll also explore what makes it so great.
The Kimi K2 is another massive mixture-of-experts (MoE) model from China. It was developed by MoonShot, a Beijing-based research company funded by Alibaba.
Like DeepSeek V3.1, the new model is impressive, offering 32 billion activated parameters and 1 trillion total parameters trained on 15.5 trillion tokens.
There are two main versions.
The K2 Thinking Model is the most notable, as it outperforms GPT-5 and Claude Sonnet 4.5 on multiple benchmarks. For example, it scored 44.9% on Humanity's Last Exam, compared to GPT-5's 41.7%.
There is a lot of hype around these new AI models due to their agentic capabilities. For instance, Kimi K2 can use 200–300 tools sequentially without human instruction.
This makes it useful for enterprises. However, there’s more to these models than that. They’re also great at everyday tasks and are cheap to run.
For instance, Kimi K2's API pricing is $0.60 per million input tokens, which is 75-90% cheaper than GPT-5 and Claude Sonnet 4.5. Because of this, we can offer Overchat Pro users unlimited AI chat with Kimi K2!
Interesting fact: The Kimi family might have flown under the radar, but they’re actually responsible for many world firsts. For example, Kimi was publicly released on November 16, 2023, and at the time, it was the first public model in the world that supported a context of 128,000 tokens.
According to AIME 2025, for example, Kimi K2 Thinking ranks as the second most advanced text generation model as of November 2025.
If you want a more complete breakdown of the benchmarks, take a look at Moonshot’s research blog post on Kimi K2 — it’s a great read and goes much deeper into the model’s agentic capabilities, if that’s something that you’re curious about. We won’t cover too much about it here, as it’s a more advanced topic.
Let's discuss what Kimi is best used for.
K2's ability to execute 200-300 tool calls without receiving new instructions makes it exceptional for multi-step research workflows. In the BrowseComp evaluation, which tests the ability to browse the web and reason about difficult-to-find information, K2 scored 60.2%, surpassing GPT-5's score of 54.9%.
K2 tends to ask clarifying questions before taking action, and it can explore multiple solution paths in parallel. The model is also remarkably good at thinking through problems on its own and outlining a clear action plan to address your question or task.
When you ask K2 something or assign it a task, here’s what happens under the hood:
Through this process of internal reasoning, Kimi determines the most effective way to solve your problem.
To be clear, all reasoning models — including Gemini 2.5 Pro, Claude Opus 4.1, and GPT-5 — use a similar approach. However, Kimi’s reasoning is particularly crisp, which allows it to be exceptionally precise.
K2 scored 71.3% on the SWE-bench Verified test, which evaluates agentic reasoning and coding capabilities. This indicates its ability to understand entire repositories and resolve genuine GitHub issues. K2 also leads on LiveCodeBench V6 with a score of 83.1%, making it ideal for generating complex code structures. Additionally, for API workflows, it's 75-90% cheaper than most "Western" heavy-hitting models at $0.60 per million input tokens.
K2 Thinking is end-to-end trained to interleave chain-of-thought reasoning with function calls, enabling autonomous research, coding, and writing workflows that last hundreds of steps without drift Hugging Face.
Moonshot has announced plans to integrate K2 into financial modeling applications and plans to leverage the model’s reasoning capabilities. With its 256K context window and ability to reason across hundreds of steps, K2 excels at analyzing large datasets and synthesizing insights.
We’ll talk about using Kimi K2 for writing in a separate section, because there’s actually a surprise when it comes to this model’s writing skills.
Anecdotally, many users have noticed that when GPT-5 and Claude Sonnet 4.5 became especially strong in logic and reasoning, they seemed to lose some of their creative flair — the gains in analytical ability and coding often came at the expense of creativity and expressiveness.
For people who rely on AI for writing, this was a major setback in their workflow. Kimi K2, however, appears to strike a better balance — it’s noticeably more well-rounded.
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Which text do you prefer?
Here’s our take: Neither is perfect, but Kimi’s version has a certain zing to it and resembles the type of content you’d find on Medium, which is good.
To be balanced, it doesn't sound entirely human, and it still has that AI quality to it. But then again, no commercially available model can sound human without heavy editing.
We’ve just added Kimi K2 to Overchat AI and this is one of the most advanced text-generation models in the world. It outperforms GPT 5, Gemini 2.5 Pro, and Claude sonnet across most benchmarks. Meanwhile, users say that it’s better at writing than these models too, which is rare, as reasoning models tend to sacrifice their creative writing quality for logic and accuracy.
Meanwhile, Kimi K2 is much cheaper than other flagship models — as such, Overchat Pro users get unlimited chats with Kimi.
