Comparison of GLM-4.5, Kimi K2, and Qwen3 Coder Code Capabilities

Recently, Smart Spectrum AI announced its GLM-4.5 series of models joins the open source ranks, reinvigorating the open source community for large language models. The open source consists mainly of two models based on the Mixed Expert (MoE) architecture, which allows models to efficiently scale their total parameter size while keeping computational costs low by activating only a fraction of the experts (i.e., a portion of the neural network) during the inference process.

The two models released are:

• GLM-4.5-355BThe total number of participants is 355 billion and the number of activated participants is 32 billion.
• GLM-4.5-AirThe total number of participants is 106 billion and the number of activated participants is 12 billion.

On a parametric scale.GLM-4.5 s design shows a quest for efficiency. For example, its 355 billion total participant count is approximately DeepSeek-R1 half of and Kimi-K2 of one-third.

Performance benchmarking and pricing strategy

In terms of performance evaluation.GLM-4.5 Including MMLU Pro,AIME24,MATH 500 cap (a poem) SWE-Bench Verified It performs well in 12 public benchmarks, including the The combined average scores show that theGLM-4.5 It is ranked third among global models, as well as first in both the domestic and open source model categories. In particular, the code fixing capability of the SWE-Bench The excellent performance on such authoritative benchmarks bodes well for their potential application in software development.

In terms of API call pricing, theGLM-4.5 A stepped pricing model is used. When the number of input tokens is in the range of 0-32k and the number of output tokens is in the range of 0-0.2k, the price is $0.8/million tokens for input and $2/million tokens for output.When the number of input tokens increases to the range of 32k-128k, the pricing strategy is the same as that of the Deepseek R1 cap (a poem) Kimi k2 and other models to look at.

In addition, the high-speed version of the model demonstrates a generation speed of up to 100 tokens/second in real-world tests, which is an important advantage for application scenarios that require real-time interaction.

Multi-dimensional code ability real test

In order to verify GLM-4.5 code generation capabilities and design aesthetics in real-world applications, we compare it to two other industry-recognized models, Dark Side of the Moon developed by Kimi K2 and AliCloud launched the Qwen3 Coder- - conducted a series of side-by-side reviews.

Test 1: Modernized Login Page Generation

The first is a basic front-end development task aimed at evaluating the model's ability to generate regular Web components.

Test cue words:

Please create a modernized login page that includes the following features:

• Mailbox and password input box
• Login Button
• "Remember me" and "Forgot password" options
• Google Third Party Login
• Registration Link

Requirements: dark theme, futuristic tech style, centered layout, good user experience.

All three models successfully generated fully functional login pages with basic interaction effects. Each has its own focus in terms of design style, theQwen3 Coder The color scheme is more prominent, and the GLM-4.5 cap (a poem) Kimi K2 It also provides a high quality realization.

Test 2: Animated Weather Cards

The second test increased the complexity of the CSS animation and JavaScript interactions and was tasked with creating an animated weather card that dynamically displays multiple weather conditions.

Test cue words:

Create a single HTML file containing CSS and JavaScript to generate an animated weather card. The card should visually represent the following weather conditions with distinct animations. The card should visually represent the following weather conditions with distinct animations.
Wind: (e.g., moving clouds, swaying trees, or wind lines)
Rain: (e.g., falling raindrops, puddles forming)
Sun: (e.g., shining rays, bright background)
Snow: (e.g., falling snowflakes, snow accumulating)
Show all the weather card side by side.
The card should have a dark background.
Provide all the HTML, CSS, and JavaScript code within this single file. The JavaScript should include a way to switch between the different weather conditions. The JavaScript should include a way to switch between the different weather conditions.

In that test, theGLM-4.5 The performance of the card is much better. The cards generated are not only smoothly animated, but also more refined in user interface (UI) details, and the overall design is more aesthetically pleasing.

Test 3: High Fashion Magazine Style Knowledge Cards

To further assess the model's ability at an advanced design and aesthetic level, a more specialized cue word was introduced that required the model to take on the role of a leading international digital magazine art director and design a futuristic tech-inspired knowledge card.

Test cue words:

You are a top international digital magazine art director and front-end development expert who has designed digital layouts for fashion magazines such as Vogue and Elle, and specializes in blending luxury magazine aesthetics with modern web design to create stunning visual experiences.

mandates

Please use Futuristic Tech to design the knowledge card in the style of a high fashion magazine, presenting the daily information in a sophisticated and luxurious magazine layout, so that the user can feel the visual enjoyment of flipping through a high-end magazine.

• Date area: presents the current date in a manner unique to each style
• Headings and subheadings: adjust fonts, sizes, typography to suit style
• Citation block: design a unique citation style to reflect the style characteristics
• Core bullet point lists: presenting list content in a style-appropriate manner
• Editor's note/tip: design it to fit the style of the sidebar or annotations

Technical specifications:

* 使用HTML5、Font Awesome、Tailwind CSS和必要的JavaScript
* FontAwesome: [https://lf6-cdn-tos.bytecdntp.com/cdn/expire-100-M/font-awesome/6.0.0/css/all.min.css](https://lf6-cdn-tos.bytecdntp.com/cdn/expire-100-M/font-awesome/6.0.0/css/all.min.css)
* Tailwind CSS: <https://lf3-cdn-tos.bytecdntp.com/cdn/expire-1-M/tailwindcss/2.2.19/tailwind.min.css>
* 中文字体: [https://fonts.geekzu.org/css2?family=Noto+Serif+SC:wght@400;500;600;700&family=Noto+Sans+SC:wght@300;400;500;700&display=swap](https://fonts.geekzu.org/css2?family=Noto+Serif+SC:wght@400;500;600;700&family=Noto+Sans+SC:wght@300;400;500;700&display=swap)

• Consider adding subtle dynamic effects, such as a fade-in effect when the page loads or subtle hover feedback
• Ensure code is clean and efficient, with a focus on performance and maintainability
• Use CSS variables to manage color and spacing for easy style consistency
• For the liquid digital morphism style, fluid dynamic effects and gradient transitions must be added
• For an ultra-sensory minimalist style, every pixel and subtle interactive feedback must be precisely controlled
• For the neo-expressionist data visualization style, the data must be incorporated into the design in a visual way

Output Requirements:

• The code should be elegant and conform to best practices, and the CSS should reflect extreme attention to detail
• Designed for a width of 440px and a height of no more than 1280px
• Abstracting and refining the subject matter, showing only the column points or the most central sentence quotes, making the reading rewarding
• Always output in Chinese, decorative elements can be used in other languages such as French and English to look stylish

With the vision and aesthetic standards of a top international magazine art director, please create digital magazine-style cards with different styles, but equally stunning, so that users can feel that "this is not just an ordinary information card, but a piece of collectible digital art".

Kimi K2 together with Qwen3 Coder The generation results are as follows:

In this comparison, theGLM-4.5 The advantages become even more obvious. The card it generates not only effectively highlights the futuristic feeling through the luminous background with a harmonious color scheme, but more importantly, it is the only model that incorporates interactive elements in its design. When the mouse hovers, the card has corresponding feedback, enhancing the user experience.

Test 4: 3D Bricks game

The final test is a complex task that requires the model to use the Three.js Create a fully mouse-controlled 3D brick-breaking game that examines the model's ability to handle a combination of game logic, physics engine, and visual effects.

Test cue words:

"Create a 3D brick-bashing game controlled entirely by the mouse:

1. Use Three.js to build an immersive 3D scene, including the following core components: a left-right sliding player paddle: controlled by horizontal mouse movement; a bouncing sphere with physical properties: moderate initial speed, following the law of reflection after collision; and rows of colorful hovering bricks: different colors correspond to different scores.
2. Physical effect requirements: collision detection: precise collision of the sphere with bricks/baffles/borders; dynamic rebound: collision at different positions of the baffle changes the horizontal rebound angle of the ball; gravity simulation: the trajectory of the sphere is a natural parabola
3. Game Mechanics: Scoring System: Real-time scoring for smashing bricks (normal bricks = 10 points, golden bricks = 50 points); Life Value: Initial 3 lives, life will be deducted if the ball falls to the bottom; Speed Evolution: For every 10 bricks smashed, the ball speed will be increased by 15%
4. Visual Effects: Particle explosion effect triggered when bricks are smashed; dynamic trailing light effect added to sphere trajectory; circular shockwave animation when block collision occurs
5. Interaction enhancements: real-time display of score and life value HUD; game over screen showing final score + restart button; add collision sound effects (using Web Audio API)"

From the final realization of the effect ofGLM-4.5 The generated games were the most playable, had the highest completeness of game logic, and generated the fewest bugs, proving once again its leading ability to handle complex code generation tasks.

Taken together.GLM-4.5 It has demonstrated a strong combination of strengths in code generation, especially for tasks that combine design aesthetics and complex interactions. Its one-time success rate in generating code and its ability to control details make it a high-performance open source model worthy of developers' attention.