GLM-5.3 vs IBM Granite 4.2 8B: Specs & Benchmark Comparison
| Characteristic | GLM-5.3 | IBM Granite 4.2 8B |
|---|---|---|
| Company | Zhipu AI | IBM |
| Release Date | August 14, 2026 | August 25, 2026 |
| Parameters | 753B | 8B |
| Multimodal | No | No |
| Context (input) | 1.0M | — |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | — |
| Output Price / 1M | $4.40 | — |
| Average Score | 0.8 | 0.6 |
| Benchmarks | ||
| Terminal-Bench 2.1 | 0.9 | 0.2 |
Visual Benchmark Comparison
GLM-5.3
IBM Granite 4.2 8B
Terminal-Bench 2.10.9 vs 0.2
0.9
0.2
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GLM-5.3 — 0.8, IBM Granite 4.2 8B — 0.6.
Recency
Both models were released around the same time: 8/14/2026 and 8/25/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or IBM Granite 4.2 8B?
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 IBM Granite 4.2 8B?
API pricing data is available on the individual model pages.
Which has a larger context window — GLM-5.3 or IBM Granite 4.2 8B?
Context window data is available on the individual model pages.
The GLM-5.3 and IBM Granite 4.2 8B 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 IBM Granite 4.2 8B page. See also the complete list of AI model comparisons.