Nemotron 3 Super is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
API cost decision in 10 seconds
Nemotron 3 Super vs Qwen3 14B
Pick Qwen3 14B for lower cost; pick Nemotron 3 Super only if the larger context window matters more.
Budget verdict
Pick Qwen3 14B for lower cost; pick Nemotron 3 Super only if the larger context window matters more.
On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.32 for Nemotron 3 Super, saving $0.1 (30.2% lower).
Nemotron 3 Super has more context, but Qwen3 14B saves $0.1 on the standard workload. At 10x that traffic, the same price gap is about $0.95. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Qwen3 14B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Nemotron 3 Super | Qwen3 14B |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Qwen3 14B | $0.68 | $0.62 |
| Balanced workload | 1M input + 1M output | Qwen3 14B | $0.54 | $0.34 |
| Output-heavy chatbot | 1M input + 5M output | Qwen3 14B | $2.34 | $1.3 |
Qwen3 14B is $0.21 cheaper per 1M output tokens (46.7% lower; 1.88x difference).
Nemotron 3 Super has 868.3K more context (7.59x larger).
Qwen3 14B is $0.1 cheaper on the standard workload (30.2% 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
Nemotron 3 Super has the lower input price; Qwen3 14B has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, Qwen3 14B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.32 for Nemotron 3 Super and $0.22 for Qwen3 14B.
Choose Nemotron 3 Super when you care most about lower input-token price, and larger context window.
Choose Qwen3 14B when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.32 for Nemotron 3 Super, saving $0.1 (30.2% lower).
- Qwen3 14B is $0.1 cheaper on the standard workload (30.2% lower).
- Nemotron 3 Super is $0.01 cheaper per 1M input tokens (10% lower; 1.11x difference).
- Qwen3 14B is $0.21 cheaper per 1M output tokens (46.7% lower; 1.88x difference).
- Nemotron 3 Super has 868.3K more context (7.59x larger).
| Feature | Nemotron 3 Super (NVIDIA) | Qwen3 14B (Qwen) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.09 | $0.1 |
| Completion Price per 1M tokens | $0.45 | $0.24 |
| Sample Workload Cost 1M input + 500K output | $0.32 | $0.22 |
| Context Window | 1M | 131.7K |
| Release Date | ||
| Popularity | #99 | #138 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Qwen3 14B | On the standard 1M input plus 500K output workload, Qwen3 14B is estimated at $0.22 vs $0.32 for Nemotron 3 Super, saving $0.1 (30.2% lower). |
| High-volume input processing | Nemotron 3 Super | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Qwen3 14B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | Nemotron 3 Super | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- Nemotron 3 Super (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- Nemotron 3 Nano 30B A3B (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- Nemotron 3 Nano Omni (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- Nemotron Nano 9B V2 (free) can replace Nemotron 3 Super when lower sample workload cost matters most: $0.
- 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
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 hubsNVIDIA catalog
Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.
Open NVIDIA modelsQwen catalog
Check other Qwen models with comparable pricing, context, or release timing.
Open Qwen modelsNVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...
Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...