Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Llama 3.2 Instruct 90B (Vision) | Qwen3 1.7B (Reasoning) |
|---|---|---|
| Input ($/M tokens) | $1.38 | $0 |
| Output ($/M tokens) | $1.38 | $0 |
Data from Artificial Analysis API — 12 benchmarks
Qwen3 1.7B (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $1.38/M for Llama 3.2 Instruct 90B (Vision).
Qwen3 1.7B (Reasoning) wins 6 out of 12 benchmarks compared to 5 for Llama 3.2 Instruct 90B (Vision). See the detailed benchmark chart above for per-category results.
Llama 3.2 Instruct 90B (Vision) generates tokens faster at 61 tok/s vs 0 tok/s. However, Qwen3 1.7B (Reasoning) has lower time-to-first-token (0.00s vs 0.62s).
Choose based on your priorities: Qwen3 1.7B (Reasoning) for lower cost, Qwen3 1.7B (Reasoning) for stronger benchmark performance, and Llama 3.2 Instruct 90B (Vision) for faster generation. For latency-sensitive apps, check the TTFT comparison above.