GLM-5 vs Kimi K3.1 Pro
Kimi K3.1 Pro leads the LLM Stats Score 55.5 to 36.6. GLM-5 is 2.6x cheaper per token.
Zhipu AI · Moonshot AI · Updated for 2026
Which is better?
Kimi K3.1 Pro leads the overall LLM Stats Score 55.5 to 36.6, ranking #5 overall.
In the 1 individual benchmarks reported for both models, Kimi K3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GLM-5 is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GLM-5
- cost matters — it's about 2.6x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Kimi K3.1 Pro
- overall performance matters — it scores 55.5 and ranks #5 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for GLM-5 · 30 for Kimi K3.1 Pro
GLM-5 outperforms in 0 benchmarks, while Kimi K3.1 Pro is better at 1 benchmark (BrowseComp).
Kimi K3.1 Pro significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) is 2.0x cheaper than Kimi K3.1 Pro ($2.00/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 3.1x cheaper than Kimi K3.1 Pro ($10.00/1M tokens).
In conclusion, Kimi K3.1 Pro is more expensive than GLM-5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K3.1 Pro accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. Kimi K3.1 Pro can generate longer responses up to 1,048,576 tokens, while GLM-5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Kimi K3.1 Pro supports multimodal inputs, whereas GLM-5 does not.
Kimi K3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Kimi K3.1 Pro
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Kimi K3.1 Pro was released on 2026-10-23.
Kimi K3.1 Pro is 8 months newer than GLM-5.
Feb 11, 2026
8 months ago
Oct 23, 2026
6 days ago
8mo 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 is available from FriendliAI, ZAI. Kimi K3.1 Pro is available from Moonshot AI.
GLM-5
Kimi K3.1 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5 and Kimi K3.1 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5 vs Kimi K3.1 Pro.