GLM 4.6V vs Mixtral 8x22B 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 Mixtral 8x22B 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...
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
Technical Specifications
| Specification | GLM 4.6V | Mixtral 8x22B Instruct |
|---|---|---|
| Provider | Zhipu AI | Mistral |
| Context Window | 131,072 tokens | 65,536 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 | 2024-04-17 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.6V
$0.30
Mixtral 8x22B Instruct
$2.00
Output Price per Million Tokens
GLM 4.6V
$0.90
Mixtral 8x22B Instruct
$6.00
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.
GLM 4.6V Quirks & Gotchas
No developer gotchas reported.
Mixtral 8x22B Instruct Quirks & Gotchas
No developer gotchas reported.