Llama 4 Scout (Fireworks) vs Nemotron 3 Super: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Llama 4 Scout (Fireworks) (Fireworks AI) and Nemotron 3 Super (Nvidia NIM). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 27, 2026
Interactive Cost Calculator
Fills in typical token counts for a workload type
Tokens in each prompt sent to the model
Tokens generated in each response
Total API calls per month
Showing costs for 2 models. Cheapest: Llama 4 Scout (Fireworks) at $3.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestLlama 4 Scout (Fireworks) | Fireworks AI | $3.00 | $0.000300 | $2.00 | $1.00 | 14.3% | Alerts coming soon |
Nemotron 3 Super | Nvidia NIM | $3.50 | $0.000350 | $1.00 | $2.50 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Llama 4 Scout (Fireworks) | Nemotron 3 Super | Cheaper |
|---|---|---|---|
| Input (standard) | $0.20/M | $0.10/M | Nemotron 3 Super |
| Output | $0.20/M | $0.50/M | Llama 4 Scout (Fireworks) |
| Cached input | $0.10/M | N/A | — |
| Batch input | $0.10/M | N/A | — |
| Batch output | $0.10/M | N/A | — |
Prices last verified: 2026-03-10 – 2026-03-27
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | Llama 4 Scout (Fireworks)Monthly | Nemotron 3 SuperMonthly | Llama 4 Scout (Fireworks)Per request | Nemotron 3 SuperPer request |
|---|---|---|---|---|
| 1K requests/mo | $0.30 | $0.35 | $0.000300 | $0.000350 |
| 10K requests/mo | $3.00 | $3.50 | $0.000300 | $0.000350 |
| 100K requests/mo | $30.00 | $35.00 | $0.000300 | $0.000350 |
| 1M requests/mo | $300.00 | $350.00 | $0.000300 | $0.000350 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose Llama 4 Scout (Fireworks)
by Fireworks AI
- Customer support
- RAG / Semantic search
- General chatbot
Input / 1M tokens
$0.20/M
Output / 1M tokens
$0.20/M
Context window
10,000,000
Tier
budget
When to Choose Nemotron 3 Super
by Nvidia NIM
- General chatbot
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.50/M
Context window
262,144
Tier
budget
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | Llama 4 Scout (Fireworks) | Nemotron 3 Super |
|---|---|---|
| Context window | 10,000,000 tokens | 262,144 tokens |
| Max output tokens | 16,384 tokens | 4,096 tokens |
| Performance tier | Budget | Budget |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
Llama 4 Scout (Fireworks) notes
Fireworks serverless pricing. Cached input 50% discount. Batch inference at 50% of serverless rates. 10M context window.
Frequently Asked Questions
Is Llama 4 Scout (Fireworks) cheaper than Nemotron 3 Super?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Llama 4 Scout (Fireworks) costs $30.00/month versus $35.00/month for Nemotron 3 Super — a 14% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, Llama 4 Scout (Fireworks) or Nemotron 3 Super?
Llama 4 Scout (Fireworks) has a larger context window at 10,000,000 tokens, compared to 262,144 tokens for Nemotron 3 Super. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Llama 4 Scout (Fireworks) and Nemotron 3 Super support the Batch API?
Llama 4 Scout (Fireworks) supports the Batch API (50% discount for async processing), while Nemotron 3 Super does not. If your workload tolerates up to 24-hour latency, routing to Llama 4 Scout (Fireworks) with batch pricing could significantly cut costs versus Nemotron 3 Super's standard rate.
Which model offers better prompt caching?
Llama 4 Scout (Fireworks) supports prompt caching at $0.10/M for cached input, while Nemotron 3 Super does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Llama 4 Scout (Fireworks)'s caching capability can substantially reduce effective costs.
What are the best use cases for Llama 4 Scout (Fireworks) vs Nemotron 3 Super?
Both models are well-suited for General chatbot. Llama 4 Scout (Fireworks) is particularly strong for Customer support, RAG / Semantic search. Nemotron 3 Super is favored for similar workflows. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for Llama 4 Scout (Fireworks) vs Nemotron 3 Super?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Llama 4 Scout (Fireworks) costs $0.000300 per request and Nemotron 3 Super costs $0.000350 per request. At 100,000 requests/month, that translates to $30.00 and $35.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Llama 4 Scout (Fireworks) vs Nemotron 3 Super: Summary
When comparing Llama 4 Scout (Fireworks) and Nemotron 3 Super for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Llama 4 Scout (Fireworks) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $30.00/month, compared to $35.00/month for Nemotron 3 Super.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Llama 4 Scout (Fireworks) charges $0.20/M for input tokens and $0.20/M for output tokens. Nemotron 3 Super charges $0.10/M input and $0.50/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Prompt caching is supported by Llama 4 Scout (Fireworks) but not Nemotron 3 Super. For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.
Context window capacity differs between the two: Llama 4 Scout (Fireworks) supports up to 10,000,000 tokens in a single request, versus 262,144 tokens for Nemotron 3 Super. A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
Related Comparisons
Explore other model comparisons from the same providers or performance tiers.
Related Provider Pages
View complete pricing tables and model lineups for the providers behind these models.
Relevant Use Cases
See cost recommendations for workloads where Llama 4 Scout (Fireworks) or Nemotron 3 Super is recommended.