GLM-4.5 vs Pixtral Large: Specs & Benchmark Comparison
| Characteristic | GLM-4.5 | Pixtral Large |
|---|---|---|
| Company | Zhipu AI | Mistral AI |
| Release Date | July 27, 2025 | November 18, 2024 |
| Parameters | 355B | 124B |
| Multimodal | No | Yes |
| Context (input) | 131K | 128K |
| Context (output) | 98K | 128K |
| Input Price / 1M | $0.60 | $2.00 |
| Output Price / 1M | $2.20 | $6.00 |
| Average Score | 0.8 | 0.8 |
Verdict
GLM-4.5 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.5 — 0.8, Pixtral Large — 0.8.
API Cost
GLM-4.5 is 2.9x cheaper: input $0.60/1M vs $2.00/1M tokens.
Context Window
GLM-4.5 supports a larger context: 131K vs 128K tokens.
Recency
GLM-4.5 is newer: released 7/27/2025 vs 11/18/2024.
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Frequently Asked Questions
Which is better for coding — GLM-4.5 or Pixtral Large?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-4.5 or Pixtral Large?
GLM-4.5 is cheaper for input: $0.60 per 1M tokens vs $2.00.
Which has a larger context window — GLM-4.5 or Pixtral Large?
GLM-4.5 supports a larger context: 131,072 tokens vs 128,000.
The GLM-4.5 and Pixtral Large comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-4.5 or Pixtral Large page. See also the complete list of AI model comparisons.