GLM-5 vs MiniMax M2.5: Specs & Benchmark Comparison
| Characteristic | GLM-5 | MiniMax M2.5 |
|---|---|---|
| Company | Zhipu AI | MiniMax |
| Release Date | February 10, 2026 | February 11, 2026 |
| Parameters | 744B | 230B |
| Multimodal | No | Yes |
| Context (input) | 200K | — |
| Context (output) | 128K | — |
| Average Score | 0.7 | 0.7 |
| Benchmarks | ||
| SWE-Bench Verified | 0.8 | 0.8 |
| BrowseComp | 0.8 | 0.8 |
Visual Benchmark Comparison
GLM-5
MiniMax M2.5
SWE-Bench Verified0.8 vs 0.8
0.8
0.8
BrowseComp0.8 vs 0.8
0.8
0.8
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GLM-5 — 0.7, MiniMax M2.5 — 0.7.
Programming
On SWE-Bench, both models are nearly equal: GLM-5 — 0.8, MiniMax M2.5 — 0.8.
Recency
Both models were released around the same time: 2/10/2026 and 2/11/2026.
More About These Models
Related Comparisons
The GLM-5 and MiniMax M2.5 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 or MiniMax M2.5 page. See also the complete list of AI model comparisons.