Gemma 3 4B vs GLM 4.5
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemma 3 4B and GLM 4.5.
Gemma 3 4B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...
GLM 4.5
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...
Technical Specifications
| Specification | Gemma 3 4B | GLM 4.5 |
|---|---|---|
| Provider | Zhipu AI | |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-03-13 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
Gemma 3 4B
$0.05
GLM 4.5
$0.60
Output Price per Million Tokens
Gemma 3 4B
$0.10
GLM 4.5
$2.20
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemma 3 4B Quirks & Gotchas
No developer gotchas reported.
GLM 4.5 Quirks & Gotchas
No developer gotchas reported.