Nemotron Nano 9B V2 (free) is free for input tokens while Llama 3.3 70B Instruct costs $0.1 per 1M tokens.
API cost decision in 10 seconds
Llama 3.3 70B Instruct vs Nemotron Nano 9B V2 (free)
Pick Nemotron Nano 9B V2 (free) for lower cost; pick Llama 3.3 70B Instruct only if the larger context window matters more.
Page updated:
Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Nemotron Nano 9B V2 (free) for lower cost; pick Llama 3.3 70B Instruct only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $0.26 for Llama 3.3 70B Instruct, saving $0.26 (100% lower).
Cost-first pickNemotron Nano 9B V2 (free)
Context-first pickLlama 3.3 70B Instruct
Sample savings$0.26100%
10x traffic gap$2.6
Llama 3.3 70B Instruct has more context, but Nemotron Nano 9B V2 (free) saves $0.26 on the standard workload. At 10x that traffic, the same price gap is about $2.6. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Nemotron Nano 9B V2 (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Llama 3.3 70B Instruct | Nemotron Nano 9B V2 (free) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Nemotron Nano 9B V2 (free) | $0.66 | $0 |
| Balanced workload | 1M input + 1M output | Nemotron Nano 9B V2 (free) | $0.42 | $0 |
| Output-heavy chatbot | 1M input + 5M output | Nemotron Nano 9B V2 (free) | $1.7 | $0 |
Nemotron Nano 9B V2 (free) is free for output tokens while Llama 3.3 70B Instruct costs $0.32 per 1M tokens.
Llama 3.3 70B Instruct has 3.07K more context (1.02x larger).
Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $0.26.
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
Nemotron Nano 9B V2 (free) has the lower input price; Nemotron Nano 9B V2 (free) has the lower output price; Llama 3.3 70B Instruct offers the larger context window. For the 1M input plus 500K output sample, Nemotron Nano 9B V2 (free) is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.26 for Llama 3.3 70B Instruct and $0 for Nemotron Nano 9B V2 (free).
Choose Llama 3.3 70B Instruct when you care most about larger context window.
Choose Nemotron Nano 9B V2 (free) when you care most about lower input-token price, and lower output-token price.
- On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $0.26 for Llama 3.3 70B Instruct, saving $0.26 (100% lower).
- Nemotron Nano 9B V2 (free) is free for the standard workload while the other model is estimated at $0.26.
- Nemotron Nano 9B V2 (free) is free for input tokens while Llama 3.3 70B Instruct costs $0.1 per 1M tokens.
- Nemotron Nano 9B V2 (free) is free for output tokens while Llama 3.3 70B Instruct costs $0.32 per 1M tokens.
- Llama 3.3 70B Instruct has 3.07K more context (1.02x larger).
| Feature | Llama 3.3 70B Instruct (Meta) | Nemotron Nano 9B V2 (free) (NVIDIA) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.1 | $0 |
| Completion Price per 1M tokens | $0.32 | $0 |
| Sample Workload Cost 1M input + 500K output | $0.26 | $0 |
| Context Window | 131.07K | 128K |
| Release Date | ||
| Popularity | #88 | #107 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Nemotron Nano 9B V2 (free) | On the standard 1M input plus 500K output workload, Nemotron Nano 9B V2 (free) is estimated at $0 vs $0.26 for Llama 3.3 70B Instruct, saving $0.26 (100% lower). |
| High-volume input processing | Nemotron Nano 9B V2 (free) | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Nemotron Nano 9B V2 (free) | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Llama 3.3 70B Instruct | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Llama 3.3 70B Instruct (free) can replace Llama 3.3 70B Instruct when lower sample workload cost matters most: $0.
- Llama 3.2 3B Instruct (free) can replace Llama 3.3 70B Instruct when lower sample workload cost matters most: $0.
- Llama 3.1 8B Instruct can replace Llama 3.3 70B Instruct when lower sample workload cost matters most: $0.04.
- Llama 3 8B Instruct can replace Llama 3.3 70B Instruct when lower sample workload cost matters most: $0.06.
- 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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