GLM-4.6 vs Kimi K2-Instruct-0905
GLM-4.6 leads the LLM Stats Score 28.7 to 21.3.
Zhipu AI · Moonshot AI · Updated for 2026
Which is better?
GLM-4.6 leads the overall LLM Stats Score 28.7 to 21.3, ranking #154 overall.
In the 5 individual benchmarks reported for both models, GLM-4.6 wins 5; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-4.6
- overall performance matters — it scores 28.7 and ranks #154 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Sep 2025
Choose Kimi K2-Instruct-0905
- you are already invested in the Moonshot AI ecosystem
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GLM-4.6 · 29 for Kimi K2-Instruct-0905
GLM-4.6 outperforms in 5 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, Terminal-Bench), while Kimi K2-Instruct-0905 is better at 0 benchmarks.
GLM-4.6 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Kimi K2-Instruct-0905 has 643.0B more parameters than GLM-4.6, making it 180.1% larger.
Context Window
Maximum input and output token capacity
Only GLM-4.6 specifies input context (202,752 tokens). Only GLM-4.6 specifies output context (202,752 tokens).
Input capabilities
Documented input modalities across available providers
GLM-4.6 supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.
GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-4.6
Kimi K2-Instruct-0905
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
GLM-4.6 was released on 2025-09-30, while Kimi K2-Instruct-0905 was released on 2025-09-05.
GLM-4.6 is 1 month newer than Kimi K2-Instruct-0905.
Sep 30, 2025
1.1 years ago
3w newerSep 5, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-4.6 and Kimi K2-Instruct-0905 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-4.6 vs Kimi K2-Instruct-0905.