Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 235B A22B 2507 Instruct | Kimi K2.5 (Non-reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.7 | $0.6 |
| Output ($/M tokens) | $2.8 | $3 |
Data from Artificial Analysis API — 12 benchmarks
Kimi K2.5 (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.20/M tokens vs $1.23/M for Qwen3 235B A22B 2507 Instruct.
It's a tie — both models win 6 benchmarks each across 12 evaluated categories. See the detailed benchmark chart above for per-category results.
Qwen3 235B A22B 2507 Instruct generates tokens faster at 72 tok/s vs 33 tok/s. Qwen3 235B A22B 2507 Instruct also has lower time-to-first-token (1.08s vs 1.40s).
Choose based on your priorities: Kimi K2.5 (Non-reasoning) for lower cost, both perform similarly on benchmarks, and Qwen3 235B A22B 2507 Instruct for faster generation. For latency-sensitive apps, check the TTFT comparison above.