GLM-5.3-Flash vs Kimi K3
GLM-5.3-Flash and Kimi K3 are closely matched at 50.3 and 53.1 on the LLM Stats Score. GLM-5.3-Flash is 24.0x cheaper per token.
Zhipu AI · Moonshot AI · Updated for 2026
Which is better?
GLM-5.3-Flash and Kimi K3 are closely matched on the overall LLM Stats Score at 50.3 and 53.1.
In the 8 individual benchmarks reported for both models, Kimi K3 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5.3-Flash is roughly 24.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5.3-Flash
- cost matters — it's about 24.0x cheaper per token
- you want the most recent training data — it shipped Aug 2026
Choose Kimi K3
- you value its reported benchmark strengths — it wins 6 of 8 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for GLM-5.3-Flash · 31 for Kimi K3
GLM-5.3-Flash outperforms in 2 benchmarks (AutomationBench, Toolathlon), while Kimi K3 is better at 6 benchmarks (BabyVision, CharXiv-R, DeepSWE 1.1, Humanity's Last Exam, OfficeQA Pro, Terminal-Bench 2.1).
Kimi K3 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3-Flash ($0.15/1M tokens) is 19.0x cheaper than Kimi K3 ($2.85/1M tokens).
For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 28.5x cheaper than Kimi K3 ($14.25/1M tokens).
In conclusion, Kimi K3 is more expensive than GLM-5.3-Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K3 has 2480.0B more parameters than GLM-5.3-Flash, making it 775.0% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5.3-Flash and Kimi K3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5.3-Flash
Kimi K3
License
Usage and distribution terms
GLM-5.3-Flash is licensed under MIT, while Kimi K3 uses Kimi K3 License.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Kimi K3 License
Open weights
Release Timeline
When each model was launched
GLM-5.3-Flash was released on 2026-08-26, while Kimi K3 was released on 2026-07-16.
GLM-5.3-Flash is 1 month newer than Kimi K3.
Aug 26, 2026
2 weeks ago
1mo newerJul 16, 2026
1 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI. Kimi K3 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
GLM-5.3-Flash
Kimi K3
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3-Flash and Kimi K3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3-Flash vs Kimi K3.