GLM-5V-Turbo vs Kimi K2.6
Kimi K2.6 leads the LLM Stats Score 43.7 to 30.3. Kimi K2.6 is 1.3x cheaper per token.
Zhipu AI · Moonshot AI · Updated for 2026
Which is better?
Kimi K2.6 leads the overall LLM Stats Score 43.7 to 30.3, ranking #38 overall.
In the 2 individual benchmarks reported for both models, Kimi K2.6 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Kimi K2.6 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Kimi K2.6 also accepts a larger context window (262,144 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-5V-Turbo
- you want predictable pricing at $1.20/M input and $4.00/M output
Choose Kimi K2.6
- overall performance matters — it scores 43.7 and ranks #38 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 1.3x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for GLM-5V-Turbo · 28 for Kimi K2.6
GLM-5V-Turbo outperforms in 0 benchmarks, while Kimi K2.6 is better at 2 benchmarks (Claw-Eval, V*).
Kimi K2.6 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-5V-Turbo ($1.20/1M tokens) is 1.6x more expensive than Kimi K2.6 ($0.75/1M tokens).
For output processing, GLM-5V-Turbo ($4.00/1M tokens) is 1.1x more expensive than Kimi K2.6 ($3.50/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than Kimi K2.6.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Kimi K2.6 accepts 262,144 input tokens compared to GLM-5V-Turbo's 200,000 tokens. Kimi K2.6 can generate longer responses up to 131,072 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GLM-5V-Turbo and Kimi K2.6 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GLM-5V-Turbo
Kimi K2.6
License
Usage and distribution terms
GLM-5V-Turbo is licensed under a proprietary license, while Kimi K2.6 uses Modified MIT License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Modified MIT License
Open weights
Release Timeline
When each model was launched
GLM-5V-Turbo was released on 2026-04-02, while Kimi K2.6 was released on 2026-04-20.
Kimi K2.6 is 1 month newer than GLM-5V-Turbo.
Apr 2, 2026
5 months ago
Apr 20, 2026
5 months ago
2w 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-5V-Turbo is available from ZAI. Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together.
GLM-5V-Turbo
Kimi K2.6
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5V-Turbo and Kimi K2.6 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5V-Turbo vs Kimi K2.6.