Model Comparison
Kimi K2.6 vs GLM-5V-TurboWhich is better in 2026?
Kimi K2.6 significantly outperforms across most benchmarks. Kimi K2.6 is 1.3x cheaper per token.
Verdict: Kimi K2.6 vs GLM-5V-Turbo — which is better?
Kimi K2.6 (by Moonshot AI) and GLM-5V-Turbo (by Zhipu 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.
Kimi K2.6 outperforms in 2 benchmarks (Claw-Eval, V*), while GLM-5V-Turbo is better at 0 benchmarks. Kimi K2.6 significantly outperforms across most benchmarks.
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.
Choose Kimi K2.6 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- 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
Choose GLM-5V-Turbo if…
- you want predictable pricing at $1.20/M input and $4.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2.6 outperforms in 2 benchmarks (Claw-Eval, V*), while GLM-5V-Turbo is better at 0 benchmarks.
Kimi K2.6 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2.6 ($0.75/1M tokens) is 1.6x cheaper than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, Kimi K2.6 ($3.50/1M tokens) is 1.1x cheaper than GLM-5V-Turbo ($4.00/1M 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
Supported data types and modalities
Both Kimi K2.6 and GLM-5V-Turbo support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Kimi K2.6
GLM-5V-Turbo
License
Usage and distribution terms
Kimi K2.6 is licensed under Modified MIT License, while GLM-5V-Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Modified MIT License
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Kimi K2.6 was released on 2026-04-20, while GLM-5V-Turbo was released on 2026-04-02.
Kimi K2.6 is 1 month newer than GLM-5V-Turbo.
Apr 20, 2026
2 months ago
2w newerApr 2, 2026
3 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
Kimi K2.6 is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. GLM-5V-Turbo is available from ZAI.
Kimi K2.6
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
Kimi K2.6
View detailsMoonshot AI
GLM-5V-Turbo
View detailsZhipu AI
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2.6 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2.6 vs GLM-5V-Turbo.