Chinese AI labs are moving very fast in 2026. Two names keep coming up in every community, Kimi K3 from Moonshot AI and GLM from Z.ai. Users search for them as “Kimi K3 Pro” and “GLM Pro”, so this post use the same words to keep things simple.
So, which one should you pick? Is it the giant 2.8 trillion parameter Kimi, or the cheaper and more flexible GLM family? The honest answer depends on your work. In this guide we compare both models on SIZE, CODING, CONTEXT, MULTIMODAL support, PRICING and FREE access. If you want to try them first, you can visit our Kimi K3 page and our GLM page on VeoAIFree.
Quick Answer
Short on time? Here is the fast version.
| Feature | Kimi K3 | GLM (latest: GLM-5.3) |
|---|---|---|
| Developer | Moonshot AI | Z.ai (Zhipu AI) |
| Released | July 16, 2026 | GLM-5.3 on August 19, 2026 |
| Best for | Long autonomous coding and agent work | Budget API use and free entry models |
| Context window | 1 million tokens | Up to 1 million tokens (latest model, per OpenRouter) |
| Multimodal | Native text, image and video | Image input on newer Flash models |
| Free access | Limited, check the Kimi app | Free chat plus free Flash API models |
| API price (input / output per 1M) | $3 / $15 | $1.40 / $4.40 |
My simple verdict: Kimi K3 wins on raw POWER. GLM wins on PRICE and FREE access. Now let us see why.
A Quick Note on the “Pro” Names
This is important. Neither company sells a model officially called “Kimi K3 Pro” or “GLM Pro”. Kimi K3 is the flagship model of Moonshot AI. GLM is a whole family, and the newest flagship is GLM-5.3, after GLM-5, GLM-5.1 and GLM-5.2.
Why do people add “Pro” then? Because they want the strongest version, not the small one. So in this article, “Kimi K3 Pro” means Kimi K3, and “GLM Pro” means the top GLM models like GLM-5.2 and GLM-5.3. Fair enough?
What Is Kimi K3?
Moonshot AI launched Kimi K3 on July 16, 2026. It is a Mixture of Experts model with about 2.8 trillion total parameters, and it was described as the largest open-weight model in the world at launch. Around 104 billion parameters are active for each token, so it does not use the full size every time.
Some key facts about it:
- 1 million token context window
- Native vision input, and video understanding is reported too
- New architecture parts called Kimi Delta Attention and Attention Residuals
- 896 experts in total, with only 16 active at once
- Available in Kimi chat, Kimi Work, Kimi Code and the API
Moonshot says the new design improves scaling efficiency by about 2.5 times compared to Kimi K2. That is a company claim, so take it carefully. Still, the direction is clear. Moonshot wants K3 to run LONG tasks with very little human help.
One more thing, the company also planned to release the open weights on July 27, 2026. Before you build anything on it, check the official Hugging Face page for the current download status and license terms.
What Is GLM?
GLM is the model family from Z.ai, the company earlier known as Zhipu AI. The family is big, so let us make it easy.
| Model | Release | Key detail |
|---|---|---|
| GLM-5 | February 12, 2026 | 744B total parameters, 40B active |
| GLM-5.1 | April 2026 | Post-training upgrade focused on coding and agents |
| GLM-5.2 | June 13, 2026 | Flagship MoE model, same 744B scale |
| GLM-5.3 | August 19, 2026 | Latest model, listed with 1M context on OpenRouter |
| GLM-4.7-Flash | Earlier | Small free model, 30B total and 3B active |
The nice part is the choice. You can pick a small FREE model for light work, or a stronger paid one for serious projects. Z.ai also offers a free chat interface with model selection, plus an Agent mode that can create documents and slides.
Size and Architecture
Kimi K3 is much bigger on paper. 2.8 trillion parameters against 744 billion is a huge gap. Does bigger always mean better? No.
Active parameters matter more for speed and cost. Kimi K3 activates around 104B per token, while GLM-5 family activates about 40B. So GLM is lighter to run, and that is one reason its API price is lower.
Here is a simple way to see it:
- Kimi K3: more brain power, more cost
- GLM: lighter, faster to serve, cheaper to use
If you are a casual user, you will not feel the architecture much. If you are a developer paying per token, you will feel it every month.
Coding Performance
Coding is where both companies fight hardest. Let us be fair to each one.
Kimi K3 claims. Moonshot says K3 reaches the level of top Western models on several coding, agent, reasoning and vision tests. One report also says it ranked first on Frontend Code Arena, ahead of Claude Fable 5. Moonshot also showed demos like optimizing GPU kernels and building a GPU compiler from scratch. These are impressive, but remember, they are vendor demos, not independent audits.
GLM claims. GLM-5 was built for complex systems engineering and long agent tasks. GLM-5.1 pushed further on coding, and GLM-5.2 is the model that shows up in coding rankings. In real life, many developers like it as a cheap workhorse for coding agents.
So who wins? For HARD, long, autonomous coding jobs, Kimi K3 looks stronger based on the reported results. For everyday coding help, bug fixing and scripts, GLM is often enough, and it costs less. Do you really need a 2.8T model to fix a CSS bug? Probably not.
Context Window and Long Documents
Kimi K3 supports 1 million tokens officially. That is enough for a very large codebase or a pile of long reports in one prompt.
The latest GLM route on OpenRouter lists a 1,048,576 token context window with up to 131,072 output tokens. Some older GLM free listings show only 128K, so the number depends on WHICH model you use. Always check the exact model name before you plan a big project.
For long context work, both are now in the same league on paper. The difference will come from how well each model remembers details deep inside the prompt, and that needs your own testing.
Multimodal Features
Kimi K3 is built with native multimodal understanding. Reports say it accepts text, images and video. This helps with tasks like screenshot to code, chart reading, and video analysis.
GLM went a different way. Its older vision models are separate, like GLM-4.6V-Flash, which is free on the API. The newer GLM-5.3-Flash is the first GLM-5 model with image input, and it is the default model in the Z.ai chat app.
So for video and deep visual tasks, Kimi K3 has the edge. For simple image understanding, GLM is fine now.
Pricing and Free Access
Now the big question in the title. Which one is really FREE?
Let us be careful here. Kimi K3 is a paid model on the API. Some providers may give trial credits or a limited free plan, but the free limits change often. Check the Kimi app for the current offer.
GLM has a clearer free story. Z.ai lists GLM-4.7-Flash, GLM-4.5-Flash and GLM-4.6V-Flash as free API models. The Z.ai chat also has a free tier. But there is a catch, the free models are older generation 4 models, not the top GLM-5.x ones.
| Pricing Item | Kimi K3 | GLM-5.3 / GLM-5.2 | GLM-5 | GLM-4.7-Flash |
|---|---|---|---|---|
| Input per 1M tokens | $3.00 | $1.40 | $1.00 | Free |
| Output per 1M tokens | $15.00 | $4.40 | $3.20 | Free |
| Cached input | $0.30 | About $0.26 (OpenRouter) | Varies | Not applicable |
Kimi says coding work can reach over 90 percent cache hits, which makes real cost lower than the headline price. That is a smart point for heavy coders.
Price winner: GLM. Free winner: also GLM, with a limit that the free models are not the newest ones.
Reliability and User Experience
Every AI tool has a bad side. Let us talk about it.
Z.ai had an increase in demand, and it announced pricing changes. Some third-party review sites also list user complaints about strict usage limits and slow performance, with a low Trustpilot score. Quota can disappear faster when you use GLM-5 models in the chat. This is something to keep in mind if you depend on the free plan.
Kimi K3 is new, and new models often face heavy traffic. Early access was also limited in some regions at launch, and OpenRouter was reported as one of the ways to reach it. Availability can change, so test before you commit your project.
Neither one is perfect. Is that a surprise? Not really.
Which One Should You Choose?
Pick the model by your real need, not by hype.
Choose Kimi K3 if you:
- Need strong autonomous coding and agent workflows
- Work with video, images and long documents together
- Want the highest possible capability and can pay for it
- Plan to self host open weights later (after checking the license)
Choose GLM if you:
- Want the lowest API cost for daily work
- Need a truly free model to practice or build a prototype
- Prefer many model sizes in one family
- Use coding agents and want a cheap backend
Pros and Cons Summary
| Kimi K3 | GLM | |
|---|---|---|
| Pros | Huge scale, 1M context, native video support, strong reported coding results | Lower price, free Flash models, many sizes, active release speed |
| Cons | Higher token price, free access is limited | Free models are older, quota complaints from some users |
Real Use Case Examples
Let us make it practical with three simple cases.
Case 1: A student writing small Python scripts. GLM free models are enough. No payment, no stress.
Case 2: A startup building an AI coding agent. Start with GLM for testing because of cost. Move the hardest tasks to Kimi K3 if quality is not enough.
Case 3: A research team analyzing long reports and videos. Kimi K3 fits better because of its native multimodal design and huge context.
Many serious teams actually use both. They route easy requests to the cheaper model, and hard requests to the stronger one. This is smart, and it saves money.
Frequently Asked Questions
Is there an official model called Kimi K3 Pro? No. The official flagship is Kimi K3. “Pro” is just how many users search for it.
Is there an official GLM Pro model? Not as a single model name. GLM is a family, and the newest flagship is GLM-5.3.
Which is cheaper, Kimi K3 or GLM? GLM is cheaper on the API. GLM-5.3 lists $1.40 input and $4.40 output per million tokens, while Kimi K3 lists $3 and $15.
Which has the bigger context window? Both are around 1 million tokens on their newest models. Older GLM listings can be as low as 128K.
Which is better for coding? Kimi K3 looks stronger for long and complex coding jobs, based on reported results. GLM is a very good budget option.
Can I use them for free? GLM offers free chat and free Flash API models. Kimi K3 free access is limited, so check the current plan in the Kimi app.
Final Verdict
So, Kimi K3 or GLM? There is no single winner for everyone.
If you want the MOST powerful option and your budget is flexible, go with Kimi K3. If you want the BEST value, with real free access, go with GLM. And if you are still unsure, test the same prompt on both. It takes five minutes, and the result will tell you more than any benchmark chart.
