GLM-5.3 vs Kimi K3: Specs & Benchmark Comparison
| Characteristic | GLM-5.3 | Kimi K3 |
|---|---|---|
| Company | Zhipu AI | Moonshot AI |
| Release Date | August 14, 2026 | July 16, 2026 |
| Parameters | 753B | 2.8T |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 1.0M |
| Input Price / 1M | $1.40 | $3.00 |
| Output Price / 1M | $4.40 | $15.00 |
| Average Score | 0.8 | 1.0 |
Verdict
GLM-5.3 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.3 — 0.8, Kimi K3 — 1.0.
API Cost
GLM-5.3 is 3.1x cheaper: input $1.40/1M vs $3.00/1M tokens.
Context Window
Same context size: 1M 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 Kimi K3?
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 Kimi K3?
GLM-5.3 is cheaper for input: $1.40 per 1M tokens vs $3.00.
Which has a larger context window — GLM-5.3 or Kimi K3?
GLM-5.3 supports a larger context: 1,000,000 tokens vs 1,000,000.
The GLM-5.3 and Kimi K3 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 Kimi K3 page. See also the complete list of AI model comparisons.