GPT-5.4 Nano vs Llama 3.3 70B
List-price comparison · GPT-5.4 Nano details · Llama 3.3 70B details
For a typical workload (100,000 requests / mo), Llama 3.3 70B costs 66% less — $24.80/mo vs $74.00/mo.
| GPT-5.4 Nano | Llama 3.3 70B | |
|---|---|---|
| Input / 1M tokens | $0.200 | $0.100 |
| Output / 1M tokens | $1.25 | $0.320 |
| Typical request (1,200 in + 400 out) | $0.0007 | $0.0002 |
| Context window | 400k tokens | 131,072 tokens |
| Max output | 128k tokens | 16,384 tokens |
| Tier | Flash | Flash |
| Provider | OpenAI | Meta |
Projected monthly cost
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 70B
Mature, well-supported open-weight model for general chat and lightweight agents — wide availability across inference providers keeps pricing competitive.
Falls behind newer flagship models on complex reasoning and coding — best suited to well-scoped, repetitive tasks.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.