← All models
GPT-5.4 Nano vs Llama 3.1 Euryale 70B v2.2
List-price comparison · GPT-5.4 Nano details · Llama 3.1 Euryale 70B v2.2 details
For a typical workload (100,000 requests / mo), GPT-5.4 Nano costs 46% less — $74.00/mo vs $136.00/mo.
| GPT-5.4 Nano | Llama 3.1 Euryale 70B v2.2 | |
|---|---|---|
| Input / 1M tokens | $0.200 | $0.850 |
| Output / 1M tokens | $1.25 | $0.850 |
| Typical request (1,200 in + 400 out) | $0.0007 | $0.0014 |
| Context window | 400k tokens | 131,072 tokens |
| Max output | 128k tokens | 16,384 tokens |
| Tier | Flash | Flash |
| Provider | OpenAI | Sao10K |
Projected monthly cost
1,000 requests / month$0.74 vs $1.3610,000 requests / month$7.40 vs $13.60100,000 requests / month$74.00 vs $136.00
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 3.1 Euryale 70B v2.2
Auto-synced from OpenRouter — no editorial write-up yet.
More comparisons
Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.