GLM 4.6V vs Llama 3 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 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 8B Instruct
Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong...
Technical Specifications
| Specification | GLM 4.6V | Llama 3 8B Instruct |
|---|---|---|
| Provider | Zhipu AI | Meta |
| Context Window | 131,072 tokens | 8,192 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 | 2024-04-18 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.6V
$0.30
Llama 3 8B Instruct
$0.14
Output Price per Million Tokens
GLM 4.6V
$0.90
Llama 3 8B Instruct
$0.14
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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 8B Instruct Quirks & Gotchas
No developer gotchas reported.