Updated March 26, 2026· Based on independent benchmark data
GLM-5 (Reasoning) and Grok 4.20 Beta 0309 (Reasoning) are virtually tied on intelligence (49.8 vs 48.5). GLM-5 (Reasoning) is 2.0x cheaper at $1.00/1M tokens vs $2.00/1M. For speed, Grok 4.20 Beta 0309 (Reasoning) wins at 246 tok/s vs 66 tok/s.
| Metric | GLM-5 (Reasoning) | Grok 4.20 Beta 0309 (Reasoning) |
|---|---|---|
| Intelligence Score | 49.8 | 48.5 |
| Coding Score | 44.2 | 42.2 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 66 tok/s | 246 tok/s |
| Latency (TTFT) | 0.98s | 11.75s |
| Input Price / 1M tokens | $1.00 | $2.00 |
| Output Price / 1M tokens | $3.20 | $6.00 |
| Context Window | N/A |
GLM-5 (Reasoning) and Grok 4.20 Beta 0309 (Reasoning) perform similarly on overall intelligence, scoring 49.8 and 48.5 respectively. For coding tasks, GLM-5 (Reasoning) has the edge with a coding score of 44.2 vs 42.2.
Grok 4.20 Beta 0309 (Reasoning) generates output significantly faster at 246 tok/s compared to GLM-5 (Reasoning)'s 66 tok/s, making it 3.7x faster for streaming responses. Time to first token is 0.98s for GLM-5 (Reasoning) vs 11.75s for Grok 4.20 Beta 0309 (Reasoning), which affects perceived responsiveness in interactive applications.
GLM-5 (Reasoning) is more affordable at $1.00/1M input tokens ($3.20/1M output), while Grok 4.20 Beta 0309 (Reasoning) costs $2.00/1M input ($6.00/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, GLM-5 (Reasoning) would cost approximately $6.00/month vs $12.00/month for Grok 4.20 Beta 0309 (Reasoning) in input costs alone.
Choose GLM-5 (Reasoning) when you need lower cost. Choose Grok 4.20 Beta 0309 (Reasoning) when you need faster output (246 tok/s).
GLM-5 (Reasoning) scores higher on coding benchmarks (44.2 vs 42.2), making it the better choice for programming tasks.
GLM-5 (Reasoning) is cheaper at $1.00/1M input tokens vs $2.00/1M for Grok 4.20 Beta 0309 (Reasoning).
Grok 4.20 Beta 0309 (Reasoning) is faster, producing output at 246 tok/s compared to GLM-5 (Reasoning)'s 66 tok/s.
No, GLM-5 (Reasoning) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities | Text | Text |
| Free Tier | No | No |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.