Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 235B A22B 2507 Instruct | Trinity Large Thinking |
|---|---|---|
| Input ($/M tokens) | $0.2 | $0.235 |
| Output ($/M tokens) | $0.825 | $0.875 |
Data from Artificial Analysis API — 12 benchmarks
Qwen3 235B A22B 2507 Instruct is cheaper overall. Its blended price (3:1 input/output ratio) is $0.36/M tokens vs $0.40/M for Trinity Large Thinking.
It's a tie — both models win 6 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
Trinity Large Thinking generates tokens faster at 128 tok/s vs 64 tok/s. However, Trinity Large Thinking has lower time-to-first-token (0.60s vs 1.16s).
Choose based on your priorities: Qwen3 235B A22B 2507 Instruct for lower cost, both perform similarly on benchmarks, and Trinity Large Thinking for faster generation. For latency-sensitive apps, check the TTFT comparison above.