Head-to-Head Pricing Benchmark
Side-by-side pricing and context window comparison for production model selection.
Default Recommendation (120M input + 60M output)
Qwen: Qwen2.5 7B Instruct is lower-cost for the default monthly workload scenario.
Adjust the workload in the calculator below to see a live recommendation for your usage.
| Metric | NVIDIA: Nemotron Nano 9B V2 | Qwen: Qwen2.5 7B Instruct |
|---|---|---|
| Developer | nvidia | qwen |
| Context Window | 131,072 | 32,768 |
| Max Output Tokens | — | 32,768 |
| Input Cost / 1M Tokens | $0.0400 | $0.0400 |
| Output Cost / 1M Tokens | $0.1600 | $0.1000 |
| Projected Monthly Cost | $14 | $11 |
| Vision | ❌ No | ❌ No |
| Tool Calling | ✅ Yes | ✅ Yes |
| Structured Output | ✅ Yes | ✅ Yes |
| Reasoning | ✅ Yes | ❌ No |
| Web Search | ❌ No | ❌ No |
| Tokenizer | Other | Qwen |
| MMLU Score | 73.9 | N/A |
| GPQA | 55.7 | N/A |
Price History
Current Input / 1M
$0.0400
Current Output / 1M
$0.1600
Price History
Current Input / 1M
$0.0400
Current Output / 1M
$0.1000
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
99.9%
Adjust your workload to see projected monthly costs.
NVIDIA: Nemotron Nano 9B V2
$14
per month
Qwen: Qwen2.5 7B Instruct
$11
per month
Lower costLive Recommendation
Qwen: Qwen2.5 7B Instruct is lower-cost at 120M input + 60M output tokens/month.
Continue evaluation with more “A vs B pricing” decision pages.