Llama 3 8B Lunaris is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
API cost decision in 10 seconds
GPT-5 Nano vs Llama 3 8B Lunaris
Pick Llama 3 8B Lunaris for lower cost; pick GPT-5 Nano only if the larger context window matters more.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Llama 3 8B Lunaris for lower cost; pick GPT-5 Nano only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Llama 3 8B Lunaris is estimated at $0.07 vs $0.25 for GPT-5 Nano, saving $0.18 (74% lower).
Cost-first pickLlama 3 8B Lunaris
Context-first pickGPT-5 Nano
Sample savings$0.1874%
10x traffic gap$1.85
GPT-5 Nano has more context, but Llama 3 8B Lunaris saves $0.18 on the standard workload. At 10x that traffic, the same price gap is about $1.85. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Llama 3 8B Lunaris stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5 Nano | Llama 3 8B Lunaris |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Llama 3 8B Lunaris | $0.45 | $0.23 |
| Balanced workload | 1M input + 1M output | Llama 3 8B Lunaris | $0.45 | $0.09 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3 8B Lunaris | $2.05 | $0.29 |
Llama 3 8B Lunaris is $0.35 cheaper per 1M output tokens (87.5% lower; 8x difference).
GPT-5 Nano has 391.81K more context (48.8x larger).
Llama 3 8B Lunaris is $0.18 cheaper on the standard workload (74% lower).
Estimate your workload cost
Your Workload Cost
This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.
Quick Decision
Llama 3 8B Lunaris has the lower input price; Llama 3 8B Lunaris has the lower output price; GPT-5 Nano offers the larger context window. For the 1M input plus 500K output sample, Llama 3 8B Lunaris is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.25 for GPT-5 Nano and $0.07 for Llama 3 8B Lunaris.
Choose GPT-5 Nano when you care most about larger context window.
Choose Llama 3 8B Lunaris when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Llama 3 8B Lunaris is estimated at $0.07 vs $0.25 for GPT-5 Nano, saving $0.18 (74% lower).
- Llama 3 8B Lunaris is $0.18 cheaper on the standard workload (74% lower).
- Llama 3 8B Lunaris is $0.01 cheaper per 1M input tokens (20% lower; 1.25x difference).
- Llama 3 8B Lunaris is $0.35 cheaper per 1M output tokens (87.5% lower; 8x difference).
- GPT-5 Nano has 391.81K more context (48.8x larger).
| Feature | GPT-5 Nano (OpenAI) | Llama 3 8B Lunaris (Sao10K) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.04 |
| Completion Price per 1M tokens | $0.4 | $0.05 |
| Sample Workload Cost 1M input + 500K output | $0.25 | $0.07 |
| Context Window | 400K | 8.19K |
| Release Date | ||
| Popularity | #68 | #115 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Llama 3 8B Lunaris | On the standard 1M input plus 500K output workload, Llama 3 8B Lunaris is estimated at $0.07 vs $0.25 for GPT-5 Nano, saving $0.18 (74% lower). |
| High-volume input processing | Llama 3 8B Lunaris | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Llama 3 8B Lunaris | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | GPT-5 Nano | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5 Nano when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5 Nano when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5 Nano when lower sample workload cost matters most: $0.13.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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