GLM 4.5 vs Mistral Large 3
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 4.5 and Mistral Large 3.
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...
Mistral Large 3
Mistral's flagship commercial model, boasting multilingual support and advanced coding and math skills. Designed for complex reasoning and enterprise tasks that require high compliance.
Technical Specifications
| Specification | GLM 4.5 | Mistral Large 3 |
|---|---|---|
| Provider | Zhipu AI | Mistral |
| Context Window | 131,072 tokens | 262,144 tokens |
| Agent Suitability | N/A | 91/100 |
| Time to First Token (TTFT) | N/A | 250 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-07-25 | 2024-07-24 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.5
$0.60
Mistral Large 3
$0.50
Output Price per Million Tokens
GLM 4.5
$2.20
Mistral Large 3
$1.50
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 4.5 Quirks & Gotchas
No developer gotchas reported.
Mistral Large 3 Quirks & Gotchas
- ▸Top-tier structured JSON output — best multilingual function calling
- ▸Le Chat offers free consumer tier with same underlying model