Updated March 26, 2026· Based on independent benchmark data
GLM-5 (Reasoning) and MiniMax-M2.7 are virtually tied on intelligence (49.8 vs 49.6). MiniMax-M2.7 is 3.3x cheaper at $0.30/1M tokens vs $1.00/1M. For speed, GLM-5 (Reasoning) wins at 66 tok/s vs 45 tok/s.
| Metric | GLM-5 (Reasoning) | MiniMax-M2.7 |
|---|---|---|
| Intelligence Score | 49.8 | 49.6 |
| Coding Score | 44.2 | 41.9 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 66 tok/s | 45 tok/s |
| Latency (TTFT) | 0.98s | 1.78s |
| Input Price / 1M tokens | $1.00 | $0.30 |
| Output Price / 1M tokens | $3.20 | $1.20 |
| Context Window | N/A | N/A |
GLM-5 (Reasoning) and MiniMax-M2.7 perform similarly on overall intelligence, scoring 49.8 and 49.6 respectively. For coding tasks, GLM-5 (Reasoning) has the edge with a coding score of 44.2 vs 41.9.
GLM-5 (Reasoning) generates output significantly faster at 66 tok/s compared to MiniMax-M2.7's 45 tok/s, making it 1.5x faster for streaming responses. Time to first token is 0.98s for GLM-5 (Reasoning) vs 1.78s for MiniMax-M2.7, which affects perceived responsiveness in interactive applications.
MiniMax-M2.7 is more affordable at $0.30/1M input tokens ($1.20/1M output), while GLM-5 (Reasoning) costs $1.00/1M input ($3.20/1M output). That makes GLM-5 (Reasoning) 3.3x more expensive per token, which can add up significantly at scale. For a typical workload of 100 requests per day at 2,000 tokens each, GLM-5 (Reasoning) would cost approximately $6.00/month vs $1.80/month for MiniMax-M2.7 in input costs alone.
Choose GLM-5 (Reasoning) when you need stronger coding performance (44.2), faster output (66 tok/s). Choose MiniMax-M2.7 when you need lower cost.
GLM-5 (Reasoning) scores higher on coding benchmarks (44.2 vs 41.9), making it the better choice for programming tasks.
MiniMax-M2.7 is cheaper at $0.30/1M input tokens vs $1.00/1M for GLM-5 (Reasoning).
GLM-5 (Reasoning) is faster, producing output at 66 tok/s compared to MiniMax-M2.7's 45 tok/s.
No, GLM-5 (Reasoning) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| 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.