GLM 4.6V vs Llama 3.1 8B Instruct
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 GLM 4.6V and Llama 3.1 8B Instruct.
GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K tokens, processes complex page layouts...
Llama 3.1 8B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...
Technical Specifications
| Specification | GLM 4.6V | Llama 3.1 8B Instruct |
|---|---|---|
| Provider | Zhipu AI | Meta |
| 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 | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-12-08 | 2024-07-23 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.6V
$0.30
Llama 3.1 8B Instruct
$0.02
Output Price per Million Tokens
GLM 4.6V
$0.90
Llama 3.1 8B Instruct
$0.03
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GLM 4.6V Quirks & Gotchas
No developer gotchas reported.
Llama 3.1 8B Instruct Quirks & Gotchas
No developer gotchas reported.