Llama 3 8B Lunaris is $0.04 cheaper per 1M input tokens (50% lower; 2x difference).
API cost decision in 10 seconds
Qwen3 32B vs Llama 3 8B Lunaris
Pick Llama 3 8B Lunaris for lower cost; pick Qwen3 32B only if the larger context window matters more.
Budget verdict
Pick Llama 3 8B Lunaris for lower cost; pick Qwen3 32B 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 $0.22 for Qwen3 32B, saving $0.16 (70.5% lower).
Qwen3 32B has more context, but Llama 3 8B Lunaris saves $0.16 on the standard workload. At 10x that traffic, the same price gap is about $1.55. 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 | Qwen3 32B | Llama 3 8B Lunaris |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Llama 3 8B Lunaris | $0.54 | $0.23 |
| Balanced workload | 1M input + 1M output | Llama 3 8B Lunaris | $0.36 | $0.09 |
| Output-heavy chatbot | 1M input + 5M output | Llama 3 8B Lunaris | $1.48 | $0.29 |
Llama 3 8B Lunaris is $0.23 cheaper per 1M output tokens (82.1% lower; 5.6x difference).
Qwen3 32B has 122.88K more context (16x larger).
Llama 3 8B Lunaris is $0.16 cheaper on the standard workload (70.5% 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; Qwen3 32B 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 $0.22 for Qwen3 32B and $0.07 for Llama 3 8B Lunaris.
Choose Qwen3 32B 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 $0.22 for Qwen3 32B, saving $0.16 (70.5% lower).
- Llama 3 8B Lunaris is $0.16 cheaper on the standard workload (70.5% lower).
- Llama 3 8B Lunaris is $0.04 cheaper per 1M input tokens (50% lower; 2x difference).
- Llama 3 8B Lunaris is $0.23 cheaper per 1M output tokens (82.1% lower; 5.6x difference).
- Qwen3 32B has 122.88K more context (16x larger).
| Feature | Qwen3 32B (Qwen) | Llama 3 8B Lunaris (Sao10K) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.08 | $0.04 |
| Completion Price per 1M tokens | $0.28 | $0.05 |
| Sample Workload Cost 1M input + 500K output | $0.22 | $0.07 |
| Context Window | 131.07K | 8.19K |
| Release Date | ||
| Popularity | #93 | #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 $0.22 for Qwen3 32B, saving $0.16 (70.5% 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 | Qwen3 32B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Qwen3 Next 80B A3B Instruct (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
- Qwen3 Coder 480B A35B (free) can replace Qwen3 32B when lower sample workload cost matters most: $0.
- Qwen2.5 7B Instruct can replace Qwen3 32B when lower sample workload cost matters most: $0.09.
- Qwen3.5-9B can replace Qwen3 32B when lower sample workload cost matters most: $0.11.
- 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.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsQwen catalog
Review all tracked Qwen models before deciding whether this matchup is the right shortlist.
Open Qwen modelsSao10K catalog
Check other Sao10K models with comparable pricing, context, or release timing.
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