Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | GLM-4.6V (Non-reasoning) | Trinity Large Thinking |
|---|---|---|
| Input ($/M tokens) | $0.3 | $0.235 |
| Output ($/M tokens) | $0.9 | $0.875 |
Data from Artificial Analysis API — 12 benchmarks
Trinity Large Thinking is cheaper overall. Its blended price (3:1 input/output ratio) is $0.40/M tokens vs $0.45/M for GLM-4.6V (Non-reasoning).
Trinity Large Thinking wins 7 out of 12 benchmarks compared to 4 for GLM-4.6V (Non-reasoning). See the detailed benchmark chart above for per-category results.
Trinity Large Thinking generates tokens faster at 131 tok/s vs 28 tok/s. However, Trinity Large Thinking has lower time-to-first-token (0.59s vs 12.18s).
Choose based on your priorities: Trinity Large Thinking for lower cost, Trinity Large Thinking for stronger benchmark performance, and Trinity Large Thinking for faster generation. For latency-sensitive apps, check the TTFT comparison above.