GLM-5.3 vs Grok 4.5: Specs & Benchmark Comparison
| Characteristic | GLM-5.3 | Grok 4.5 |
|---|---|---|
| Company | Zhipu AI | xAI |
| Release Date | August 14, 2026 | July 16, 2026 |
| Parameters | 753B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 500K |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | $2.00 |
| Output Price / 1M | $4.40 | $6.00 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| Terminal-Bench 2.1 | 0.9 | 0.8 |
Visual Benchmark Comparison
GLM-5.3
Grok 4.5
Terminal-Bench 2.10.9 vs 0.8
0.9
0.8
Verdict
GLM-5.3 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.3 — 0.8, Grok 4.5 — 0.8.
API Cost
GLM-5.3 is 1.4x cheaper: input $1.40/1M vs $2.00/1M tokens.
Context Window
GLM-5.3 supports a larger context: 1M vs 500K tokens.
Recency
GLM-5.3 is newer: released 8/14/2026 vs 7/16/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Grok 4.5?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.3 or Grok 4.5?
GLM-5.3 is cheaper for input: $1.40 per 1M tokens vs $2.00.
Which has a larger context window — GLM-5.3 or Grok 4.5?
GLM-5.3 supports a larger context: 1,000,000 tokens vs 500,000.
The GLM-5.3 and Grok 4.5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.3 or Grok 4.5 page. See also the complete list of AI model comparisons.