Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 1.7B (Reasoning) | Claude 3 Haiku |
|---|---|---|
| Input ($/M tokens) | $0.11 | $0.25 |
| Output ($/M tokens) | $1.26 | $1.25 |
Data from Artificial Analysis API — 12 benchmarks
Qwen3 1.7B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.40/M tokens vs $0.50/M for Claude 3 Haiku.
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 1.7B (Reasoning) generates tokens faster at 140 tok/s vs 131 tok/s. However, Claude 3 Haiku has lower time-to-first-token (0.47s vs 0.88s).
Choose based on your priorities: Qwen3 1.7B (Reasoning) for lower cost, both perform similarly on benchmarks, and Qwen3 1.7B (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.