GLM-5.1 vs GLM-5.3: Specs & Benchmark Comparison
| Characteristic | GLM-5.1 | GLM-5.3 |
|---|---|---|
| Company | Zhipu AI | Zhipu AI |
| Release Date | April 7, 2026 | August 14, 2026 |
| Parameters | 754B | 753B |
| Multimodal | No | No |
| Context (input) | 200K | 1.0M |
| Context (output) | 131K | 131K |
| Input Price / 1M | $1.40 | $1.40 |
| Output Price / 1M | $4.40 | $4.40 |
| Average Score | 0.9 | 0.8 |
Verdict
GLM-5.3 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.1 — 0.9, GLM-5.3 — 0.8.
API Cost
API cost is identical: input $1.40/1M, output $4.40/1M tokens.
Context Window
GLM-5.3 supports a larger context: 1M vs 200K tokens.
Recency
GLM-5.3 is newer: released 8/14/2026 vs 4/7/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — GLM-5.1 or GLM-5.3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.1 or GLM-5.3?
GLM-5.1 is cheaper for input: $1.40 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.1 or GLM-5.3?
GLM-5.3 supports a larger context: 1,000,000 tokens vs 200,000.
The GLM-5.1 and GLM-5.3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.1 or GLM-5.3 page. See also the complete list of AI model comparisons.