Kimi K3 is INSANELY STRONG! (Real Tests and Review)

Kimi K3: The New Benchmark in AI Models

Introduction to Kimi K3

• The speaker introduces Kimi K3, expressing excitement about its capabilities and comparing it favorably to previous models like GLM 5.2.

• Kimi K3 has surpassed GLM 5.2 in performance, particularly in web development, and is anticipated to excel in agentic tasks across various projects.

Model Specifications

• Kimi K3 boasts 2.8 trillion total parameters, making it the largest open model currently available; however, active parameters per token are yet to be disclosed.

• Understanding active parameters is crucial as they indicate how many of the total parameters are actively contributing to processing each token.

• The model employs a mixture of experts (MOE) architecture with 16 active experts out of a possible 896 per token, allowing for efficient routing of tokens.

Performance Benchmarks

• Initial benchmarks show that Kimi K3 performs impressively against Fable 5 and GPT 5.6 Sol, with notable strengths and some limitations highlighted.

Visual Tests Overview

Helm's Deep Test

• The speaker discusses the Helm's Deep test as one of their favorites due to its smooth visuals compared to other models which often render scenes too dark.

• Details such as lighting effects and landmark indicators enhance user experience during this visual test.

Hogwarts Broom Flight Simulator

• This auto flight simulation demonstrates dynamic movement through hoops but lacks scale accuracy compared to actual Hogwarts size; however, lighting details are praised.

Jabberwock Game Simulation

• In this game adaptation based on a poem, players engage in combat with a Jabberwock; the model successfully completes one game loop showcasing interactive gameplay elements.

Low Poly World Experience

• A simple Minecraft-like world where users can mine resources is presented; while rendering issues exist (e.g., crafting items spawning incorrectly), overall performance is satisfactory.

Office Life Simulation

• This simulation highlights pathfinding challenges faced by other models but shows improvement in navigating office environments with detailed character actions noted throughout the simulation.

Review of Kimi K3 and Its Features

Lunch Break Observations

• The speaker notes that everyone has already eaten during the lunch break, highlighting a unique aspect of office life.

Petri Dish Simulation Insights

• The design of the Petri dish simulation is praised for being cleaner and more artistic compared to GPT 5.6 Sol.

• Unlike GPT 5.6 Sol, which aggressively hunts prey, Kimi K3's predator waits for prey to come closer before engaging, indicating a more passive hunting behavior.

• The speaker appreciates the artistic design of the universe simulator but wishes for better details in its execution.

Universe Simulator Evaluation

• The universe simulator generates different city layouts each time it is clicked, showcasing creativity with added features like day/night toggling.

• Earthquake mode effectively demonstrates building logic during seismic events; taller buildings are shown to be shakier than shorter ones.

Traffic Simulation and City Design

• The traffic simulation includes cars but struggles with visibility due to skyscrapers obstructing views.

• Overall satisfaction with the city regeneration feature is expressed as a "big pass."

Architectural Benchmarking

• A classic test involves assessing 3D Chinese architecture; previously, any roof completion was acceptable, but now full polished roofs are expected without protruding beams.

• Erosion logic is emphasized; not just color changes in wood are important but also detailed textures like cracks.

Final Architecture Assessment

• While some beams still poke out in Kimi K3’s output, it achieves a high level of detail and animation quality.

• Despite minor issues, the overall assessment gives it a score of 98% complete based on visual fidelity and structural integrity.

Web Design Capabilities Comparison

• A personal benchmark tests Kimi K3's web design skills against Fable 5 by recreating GitKraken; results show modern UI/UX alignment though not perfect.

• GLM 5.2's recreation of astro.build impresses due to its clean space-themed design while noting potential improvements in font choices.

Code Quality Analysis

• A comparison between code quality metrics shows Kimi K3 scoring higher (8.6 vs. GPT 5.6 Sol at 7.3), winning all nine benchmarks despite close scores in some areas.

• Key reasons for Kimi's success include adherence to creative briefs and effective orchestration among sub-agents leading to superior outputs compared to GPT models.

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Kimi K3: Insights and Limitations

Overview of Kimi K3's Capabilities

• Kimi K3 is noted for its powerful capabilities in running loops, particularly when integrated with agent swarms.

• The model has limitations regarding its sensitivity to thinking history, which can affect generation quality if historical content isn't fully passed back or if sessions are switched mid-use.

Compatibility and Performance Issues

• Using K3 with other harnesses like Kiel code or open code results in reduced performance compared to using it with Kimi code.

• Excessive proactiveness is a concern; the model may overthink minor issues, leading to unexpected decisions that could stall processes.

Debugging Experiences

• During debugging tasks, such as fixing lateral movement in Jabberwock, the model stalled for 30 minutes without writing any code due to being set on slash goal.

• Users can limit unexpected decisions by using slash goal but should be aware that this setting can also hinder the model's ability to ask clarifying questions.

Comparative Analysis with Other Models

• Despite being competitive, K3 shows noticeable gaps in user experience compared to models like Cloud Fable 5 and GBD 5.6.

• While Fable 5 excels in plan mode, coding capabilities are criticized; thus, users often leverage K3 for specific tasks while continuing work from Fable 5.

Future Prospects and Community Engagement

• The speaker expresses enthusiasm about transitioning from GLM 5.2 to Kimi K3 as their primary tool among Chinese open models.

• Viewers are encouraged to share their projects utilizing Kimi K3 in the comments section for community engagement and exploration of potential applications.