← All models
GPT-5.4 Nano vs Llama 3.3 Nemotron Super 49B V1.5
List-price comparison · GPT-5.4 Nano details · Llama 3.3 Nemotron Super 49B V1.5 details
For a typical workload (100,000 requests / mo), Llama 3.3 Nemotron Super 49B V1.5 costs 14% less — $64.00/mo vs $74.00/mo.
| GPT-5.4 Nano | Llama 3.3 Nemotron Super 49B V1.5 | |
|---|---|---|
| Input / 1M tokens | $0.200 | $0.400 |
| Output / 1M tokens | $1.25 | $0.400 |
| Typical request (1,200 in + 400 out) | $0.0007 | $0.0006 |
| Context window | 400k tokens | 131,072 tokens |
| Max output | 128k tokens | 16,384 tokens |
| Tier | Flash | Flash |
| Provider | OpenAI | NVIDIA |
Projected monthly cost
1,000 requests / month$0.74 vs $0.6410,000 requests / month$7.40 vs $6.40100,000 requests / month$74.00 vs $64.00
Rows open both models in the calculator — adjust volume and token counts there.
GPT-5.4 Nano
Cheapest OpenAI option for high-throughput classification, tagging, and routing — ideal as a first-pass filter before a stronger model.
Limited reasoning depth means it should be treated as a triage layer, not a final answer source, for anything business-critical.
Llama 3.3 Nemotron Super 49B V1.5
Auto-synced from OpenRouter — no editorial write-up yet.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.