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GPT-5.4 Nano vs Llama 3 8B Lunaris
List-price comparison · GPT-5.4 Nano details · Llama 3 8B Lunaris details
For a typical workload (100,000 requests / mo), Llama 3 8B Lunaris costs 91% less — $6.80/mo vs $74.00/mo.
| GPT-5.4 Nano | Llama 3 8B Lunaris | |
|---|---|---|
| Input / 1M tokens | $0.200 | $0.040 |
| Output / 1M tokens | $1.25 | $0.050 |
| Typical request (1,200 in + 400 out) | $0.0007 | $0.0001 |
| Context window | 400k tokens | 8,192 tokens |
| Max output | 128k tokens | 16,384 tokens |
| Tier | Flash | Flash |
| Provider | OpenAI | Sao10K |
Projected monthly cost
1,000 requests / month$0.74 vs $0.06810,000 requests / month$7.40 vs $0.68100,000 requests / month$74.00 vs $6.80
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 8B Lunaris
Auto-synced from OpenRouter — no editorial write-up yet.
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Vendor list rates · per-request examples assume 1,200 input + 400 output tokens.