Llama 3.1 8B (SambaNova) vs Nemotron 3 Super: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Llama 3.1 8B (SambaNova) (SambaNova) 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 3.1 8B (SambaNova) at $2.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestLlama 3.1 8B (SambaNova) | SambaNova | $2.00 | $0.000200 | $1.00 | $1.00 | 42.9% | 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 3.1 8B (SambaNova) | Nemotron 3 Super | Cheaper |
|---|---|---|---|
| Input (standard) | $0.10/M | $0.10/M | — |
| Output | $0.20/M | $0.50/M | Llama 3.1 8B (SambaNova) |
Prices last verified: 2026-03-11 – 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 3.1 8B (SambaNova)Monthly | Nemotron 3 SuperMonthly | Llama 3.1 8B (SambaNova)Per request | Nemotron 3 SuperPer request |
|---|---|---|---|---|
| 1K requests/mo | $0.20 | $0.35 | $0.000200 | $0.000350 |
| 10K requests/mo | $2.00 | $3.50 | $0.000200 | $0.000350 |
| 100K requests/mo | $20.00 | $35.00 | $0.000200 | $0.000350 |
| 1M requests/mo | $200.00 | $350.00 | $0.000200 | $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 3.1 8B (SambaNova)
by SambaNova
- Text classification
- Data extraction
- Customer support
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.20/M
Context window
128,000
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 3.1 8B (SambaNova) | Nemotron 3 Super |
|---|---|---|
| Context window | 128,000 tokens | 262,144 tokens |
| Max output tokens | 8,192 tokens | 4,096 tokens |
| Performance tier | Budget | Budget |
| Vision / image input | No | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
Llama 3.1 8B (SambaNova) notes
Llama 3.1 8B on SambaNova. Best-in-class throughput for budget workloads. Ideal for high-volume, low-latency inference tasks.
Frequently Asked Questions
Is Llama 3.1 8B (SambaNova) cheaper than Nemotron 3 Super?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Llama 3.1 8B (SambaNova) costs $20.00/month versus $35.00/month for Nemotron 3 Super — a 43% 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 3.1 8B (SambaNova) or Nemotron 3 Super?
Nemotron 3 Super has a larger context window at 262,144 tokens, compared to 128,000 tokens for Llama 3.1 8B (SambaNova). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Llama 3.1 8B (SambaNova) and Nemotron 3 Super support the Batch API?
Neither Llama 3.1 8B (SambaNova) nor Nemotron 3 Super currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
Neither Llama 3.1 8B (SambaNova) nor Nemotron 3 Super currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.
What are the best use cases for Llama 3.1 8B (SambaNova) vs Nemotron 3 Super?
Llama 3.1 8B (SambaNova) is best suited for Text classification, Data extraction, Customer support, while Nemotron 3 Super is optimized for General chatbot. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.
What is the cost per request for Llama 3.1 8B (SambaNova) vs Nemotron 3 Super?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Llama 3.1 8B (SambaNova) costs $0.000200 per request and Nemotron 3 Super costs $0.000350 per request. At 100,000 requests/month, that translates to $20.00 and $35.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Llama 3.1 8B (SambaNova) vs Nemotron 3 Super: Summary
When comparing Llama 3.1 8B (SambaNova) and Nemotron 3 Super for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Llama 3.1 8B (SambaNova) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $20.00/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 3.1 8B (SambaNova) charges $0.10/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.
Context window capacity differs between the two: Nemotron 3 Super supports up to 262,144 tokens in a single request, versus 128,000 tokens for Llama 3.1 8B (SambaNova). 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 3.1 8B (SambaNova) or Nemotron 3 Super is recommended.