Text model
nvidia.nemotron-super-3-120b pricing
Amazon Bedrock charges $0.15 per million input tokens and $0.65 per million output tokens for nvidia.nemotron-super-3-120b. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $0.15/ 1M
- Output
- $0.65/ 1M
- Context
- 256Ktokens
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.15 | $0.65 | — | — |
| Batch | $0.075 | $0.325 | — | — |
| Priority | $0.2625 | $1.1375 | — | — |
| Flex | $0.075 | $0.325 | — | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.000485 | 100,000 | $48.50 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.00122 | 100,000 | $122.50 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.00232 | 250,000 | $580.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | $0.000322 | 1,000,000 | $322.50 |
Planning a mix of models? Simulate a workload with nvidia.nemotron-super-3-120b, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| bedrock/openai.gpt-oss-20b-1:0 | $0.00027 | 44% |
| bedrock/amazon.nova-lite-v1:0 | $0.000186 | 62% |
| databricks/databricks-meta-llama-3-1-8b-instruct | $0.000405 | 16% |
| novita/xiaomimimo/mimo-v2.5 | $0.000386 | 20% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: Amazon Bedrock pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.