Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | GPT-4.1 nano | Llama Nemotron Super 49B v1.5 (Reasoning) |
|---|---|---|
| Input ($/M tokens) | $0.1 | $0.4 |
| Output ($/M tokens) | $0.4 | $0.4 |
Data from Artificial Analysis API — 12 benchmarks
GPT-4.1 nano is cheaper overall. Its blended price (3:1 input/output ratio) is $0.17/M tokens vs $0.40/M for Llama Nemotron Super 49B v1.5 (Reasoning).
Llama Nemotron Super 49B v1.5 (Reasoning) wins 11 out of 12 benchmarks compared to 1 for GPT-4.1 nano. See the detailed benchmark chart above for per-category results.
GPT-4.1 nano generates tokens faster at 154 tok/s vs 52 tok/s. However, Llama Nemotron Super 49B v1.5 (Reasoning) has lower time-to-first-token (0.27s vs 0.52s).
Choose based on your priorities: GPT-4.1 nano for lower cost, Llama Nemotron Super 49B v1.5 (Reasoning) for stronger benchmark performance, and GPT-4.1 nano for faster generation. For latency-sensitive apps, check the TTFT comparison above.