Gemini 3.1 Pro vs GLM-4.7-Flash: Specs & Benchmark Comparison
| Characteristic | Gemini 3.1 Pro | GLM-4.7-Flash |
|---|---|---|
| Company | Zhipu AI | |
| Release Date | February 19, 2026 | January 18, 2026 |
| Parameters | — | 30B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 128K |
| Context (output) | 66K | 16K |
| Input Price / 1M | $2.50 | $0.07 |
| Output Price / 1M | $15.00 | $0.40 |
| Average Score | 0.8 | 0.6 |
| Benchmarks | ||
| SWE-bench Verified | 0.8 | 0.6 |
| GPQA | 0.9 | 0.8 |
Visual Benchmark Comparison
Gemini 3.1 Pro
GLM-4.7-Flash
SWE-bench Verified0.8 vs 0.6
0.8
0.6
GPQA0.9 vs 0.8
0.9
0.8
Verdict
Gemini 3.1 Pro leads in 2 out of 5 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.1 Pro — 0.8, GLM-4.7-Flash — 0.6.
Programming
On SWE-Bench, both models are nearly equal: Gemini 3.1 Pro — 0.8, GLM-4.7-Flash — 0.6.
API Cost
GLM-4.7-Flash is 37.2x cheaper: input $0.07/1M vs $2.50/1M tokens.
Context Window
Gemini 3.1 Pro supports a larger context: 1M vs 128K tokens.
Recency
Gemini 3.1 Pro is newer: released 2/19/2026 vs 1/18/2026.
More About These Models
Related Comparisons
The Gemini 3.1 Pro and GLM-4.7-Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.1 Pro or GLM-4.7-Flash page. See also the complete list of AI model comparisons.