GLM 4.6V vs Llama 3.1 70B 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 70B 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 70B Instruct
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...
Technical Specifications
| Specification | GLM 4.6V | Llama 3.1 70B 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 70B Instruct
$0.40
Output Price per Million Tokens
GLM 4.6V
$0.90
Llama 3.1 70B Instruct
$0.40
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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 70B Instruct Quirks & Gotchas
No developer gotchas reported.