Gemma 4 26B A4B vs GLM 4.5V (Comparative Analysis)
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Comparative Analysis: Gemma 4 26B A4B vs. GLM 4.5V
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Overview
GLM 4.5V was released 7 months before Gemma 4 26B A4B.
 Gemma 4 26B A4B |  GLM 4.5V | |
|---|---|---|
Model Provider The organization behind this AI's development | Google | Z.AI |
Input Context Window Maximum input tokens this model can process at once | 262.1K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 262.1K tokens | 16.4K tokens |
Release Date When this model first became publicly available | April 3, 2026 3 months ago April 3rd, 2026 | August 11, 2025 11 months ago August 11th, 2025 |
Knowledge Cutoff Latest training-data date reported by the provider | Not reported | December 31, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
Gemma 4 26B A4B | GLM 4.5V | |
|---|---|---|
Input Types Supported input formats | 🖼️Image📝Text🎬Video | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Optional |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Gemma | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
Gemma 4 26B A4B is roughly 0.2x less expensive compared to GLM 4.5V for input tokens and roughly 0.2x less expensive for output tokens.
| Gemma 4 26B A4B | GLM 4.5V | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.12 per million tokens | $0.60 per million tokens |
Output Token Cost Cost per million output tokens | $0.35 per million tokens | $1.80 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.05 per million tokens | $0.11 per million tokens |
Benchmarks
Compare relevant benchmarks between Gemma 4 26B A4B and GLM 4.5V.
| Gemma 4 26B A4B | GLM 4.5V | |
|---|---|---|
Intelligence Index Overall model quality across independent evaluations | 25.7 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 39.3 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 11 (Artificial Analysis index; higher is better) | Benchmark not available. |
At a Glance
Quick overview of what makes Gemma 4 26B A4B and GLM 4.5V unique.
Gemma 4 26B A4B by Google understands both text and images, analyzes video, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 262.1K token context window. Very affordable at $0.12/M input and $0.35/M output tokens. Released April 3rd, 2026.GLM 4.5V by Z.AI understands both text and images, can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 65.5K token context window. Reasonably priced at $0.60/M input and $1.80/M output tokens. Released August 11th, 2025.Explore More Comparisons
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