Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 14B (Reasoning) | GLM-5.1 (Reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.35 | $1.4 |
| Output ($/M tokens) | $4.2 | $4.4 |
Data from Artificial Analysis API — 12 benchmarks
Qwen3 14B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.31/M tokens vs $2.15/M for GLM-5.1 (Reasoning).
GLM-5.1 (Reasoning) wins 7 out of 12 benchmarks compared to 5 for Qwen3 14B (Reasoning). See the detailed benchmark chart above for per-category results.
GLM-5.1 (Reasoning) generates tokens faster at 72 tok/s vs 62 tok/s. However, GLM-5.1 (Reasoning) has lower time-to-first-token (0.83s vs 1.10s).
Choose based on your priorities: Qwen3 14B (Reasoning) for lower cost, GLM-5.1 (Reasoning) for stronger benchmark performance, and GLM-5.1 (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.