Model Comparison
MiniMax M3 vs GLM-5V-TurboWhich is better in 2026?
GLM-5V-Turbo significantly outperforms across most benchmarks. MiniMax M3 is 3.6x cheaper per token.
Verdict: MiniMax M3 vs GLM-5V-Turbo — which is better?
MiniMax M3 (by MiniMax) 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.
MiniMax M3 outperforms in 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval). GLM-5V-Turbo significantly outperforms across most benchmarks.
On price, MiniMax M3 is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M3 also accepts a larger context window (512,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose MiniMax M3 if…
- cost matters — it's about 3.6x cheaper per token
- you process long inputs — it offers a 512,000 token context window
- you want the most recent training data — it shipped Jun 2026
- you need open weights you can self-host or fine-tune
Choose GLM-5V-Turbo if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
MiniMax M3 outperforms in 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval).
GLM-5V-Turbo significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, MiniMax M3 ($0.30/1M tokens) is 4.0x cheaper than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, MiniMax M3 ($1.20/1M tokens) is 3.3x cheaper than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than MiniMax M3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
MiniMax M3 accepts 512,000 input tokens compared to GLM-5V-Turbo's 200,000 tokens. MiniMax M3 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 MiniMax M3 and GLM-5V-Turbo support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
MiniMax M3
GLM-5V-Turbo
License
Usage and distribution terms
MiniMax M3 is licensed under MIT, while GLM-5V-Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M3 was released on 2026-06-01, while GLM-5V-Turbo was released on 2026-04-02.
MiniMax M3 is 2 months newer than GLM-5V-Turbo.
Jun 1, 2026
1 months ago
2mo 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
MiniMax M3 is available from Fireworks, Novita, Together, MiniMax. GLM-5V-Turbo is available from ZAI.
MiniMax M3
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
MiniMax M3
View detailsMiniMax
GLM-5V-Turbo
View detailsZhipu AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MiniMax M3 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MiniMax M3 vs GLM-5V-Turbo.