Model Comparison
Gemma 4 31B vs GLM-5V-TurboWhich is better in 2026?
Comparing Gemma 4 31B and GLM-5V-Turbo across benchmarks, pricing, and capabilities.
Verdict: Gemma 4 31B vs GLM-5V-Turbo — which is better?
Gemma 4 31B (by Google) 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.
On price, Gemma 4 31B is roughly 9.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemma 4 31B also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 4 31B if…
- cost matters — it's about 9.9x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- 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
Gemma 4 31B and GLM-5V-Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 4 31B ($0.13/1M tokens) is 9.2x cheaper than GLM-5V-Turbo ($1.20/1M tokens).
For output processing, Gemma 4 31B ($0.38/1M tokens) is 10.5x cheaper than GLM-5V-Turbo ($4.00/1M tokens).
In conclusion, GLM-5V-Turbo is more expensive than Gemma 4 31B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemma 4 31B accepts 262,144 input tokens compared to GLM-5V-Turbo's 200,000 tokens. Gemma 4 31B 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 Gemma 4 31B and GLM-5V-Turbo support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 4 31B
GLM-5V-Turbo
License
Usage and distribution terms
Gemma 4 31B is licensed under Apache 2.0, while GLM-5V-Turbo uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Both models were released on 2026-04-02.
They likely represent similar generations of model development.
Apr 2, 2026
3 months ago
Apr 2, 2026
3 months ago
Knowledge Cutoff
When training data ends
Gemma 4 31B has a documented knowledge cutoff of 2025-01-01, while GLM-5V-Turbo's cutoff date is not specified.
We can confirm Gemma 4 31B's training data extends to 2025-01-01, but cannot make a direct comparison without GLM-5V-Turbo's cutoff date.
Jan 2025
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Provider Availability
Gemma 4 31B is available from DeepInfra, FriendliAI, Novita, Together. GLM-5V-Turbo is available from ZAI.
Gemma 4 31B
GLM-5V-Turbo
Outputs Comparison
Key Takeaways
Gemma 4 31B
View detailsGLM-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 Gemma 4 31B and GLM-5V-Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 4 31B vs GLM-5V-Turbo.