Model Comparison
GLM-5.2 vs Kimi K3Which is better in 2026?
Kimi K3 significantly outperforms across most benchmarks. GLM-5.2 is 4.1x cheaper per token.
Verdict: GLM-5.2 vs Kimi K3 — which is better?
GLM-5.2 (by Zhipu AI) and Kimi K3 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GLM-5.2 outperforms in 0 benchmarks, while Kimi K3 is better at 11 benchmarks (DeepSWE, DeepSWE 1.1, FrontierSWE, GPQA, Humanity's Last Exam, MCP Atlas, PostTrainBench, Program Bench, SWE-Marathon, Terminal-Bench 2.1, Toolathlon). Kimi K3 significantly outperforms across most benchmarks.
On price, GLM-5.2 is roughly 4.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GLM-5.2 if…
- cost matters — it's about 4.1x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3 if…
- you want the strongest raw capability — it leads on 11 of 11 shared benchmarks
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.2 outperforms in 0 benchmarks, while Kimi K3 is better at 11 benchmarks (DeepSWE, DeepSWE 1.1, FrontierSWE, GPQA, Humanity's Last Exam, MCP Atlas, PostTrainBench, Program Bench, SWE-Marathon, Terminal-Bench 2.1, Toolathlon).
Kimi K3 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.2 ($0.95/1M tokens) is 3.2x cheaper than Kimi K3 ($3.00/1M tokens).
For output processing, GLM-5.2 ($3.00/1M tokens) is 5.0x cheaper than Kimi K3 ($15.00/1M tokens).
In conclusion, Kimi K3 is more expensive than GLM-5.2.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2047.0B more parameters than GLM-5.2, making it 271.8% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while GLM-5.2 is limited to 131,072 tokens.
Input Capabilities
Supported data types and modalities
Kimi K3 supports multimodal inputs, whereas GLM-5.2 does not.
Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.2
Kimi K3
Release Timeline
When each model was launched
GLM-5.2 was released on 2026-06-16, while Kimi K3 was released on 2026-07-16.
Kimi K3 is 1 month newer than GLM-5.2.
Jun 16, 2026
1 months ago
Jul 16, 2026
1 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.2 is available from DeepInfra, Fireworks, FriendliAI, Novita, Together, ZAI. Kimi K3 is available from Moonshot AI.
GLM-5.2
Kimi K3
Outputs Comparison
Key Takeaways
GLM-5.2
View detailsZhipu AI
Kimi K3
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GLM-5.2 and Kimi K3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.2 vs Kimi K3.