Llama 3.3 70B (Together AI) vs Nemotron Super 49B: API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Llama 3.3 70B (Together AI) (Together AI) and Nemotron Super 49B (Nvidia NIM). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 11, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: Nemotron Super 49B at $3.00/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestNemotron Super 49B | Nvidia NIM | $3.00 | $0.000300 | $1.00 | $2.00 | 77.3% | Alerts coming soon |
Llama 3.3 70B (Together AI) | Together AI | $13.20 | $0.001320 | $8.80 | $4.40 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Llama 3.3 70B (Together AI) | Nemotron Super 49B | Cheaper |
|---|---|---|---|
| Input (standard) | $0.88/M | $0.10/M | Nemotron Super 49B |
| Output | $0.88/M | $0.40/M | Nemotron Super 49B |
Prices last verified: 2026-03-06 – 2026-03-11
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 3.3 70B (Together AI)Monthly | Nemotron Super 49BMonthly | Llama 3.3 70B (Together AI)Per request | Nemotron Super 49BPer request |
|---|---|---|---|---|
| 1K requests/mo | $1.32 | $0.30 | $0.001320 | $0.000300 |
| 10K requests/mo | $13.20 | $3.00 | $0.001320 | $0.000300 |
| 100K requests/mo | $132.00 | $30.00 | $0.001320 | $0.000300 |
| 1M requests/mo | $1,320.00 | $300.00 | $0.001320 | $0.000300 |
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 3.3 70B (Together AI)
by Together AI
- General chatbot
- Content & copywriting
- Code generation
Input / 1M tokens
$0.88/M
Output / 1M tokens
$0.88/M
Context window
131,072
Tier
mid
When to Choose Nemotron Super 49B
by Nvidia NIM
- General chatbot
- Content Creation
- Summarization
Input / 1M tokens
$0.10/M
Output / 1M tokens
$0.40/M
Context window
128,000
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 3.3 70B (Together AI) | Nemotron Super 49B |
|---|---|---|
| Context window | 131,072 tokens | 128,000 tokens |
| Max output tokens | 4,096 tokens | 8,192 tokens |
| Performance tier | Mid | 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 3.3 70B (Together AI) notes
Open-source Llama model. Pricing equal for input and output. Meta license applies.
Nemotron Super 49B notes
Nemotron Super 49B on NVIDIA NIM. Budget-tier foundation model with TensorRT-LLM optimization for high-throughput inference on NVIDIA infrastructure.
Frequently Asked Questions
Is Llama 3.3 70B (Together AI) cheaper than Nemotron Super 49B?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Nemotron Super 49B costs $30.00/month versus $132.00/month for Llama 3.3 70B (Together AI) — a 77% 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 3.3 70B (Together AI) or Nemotron Super 49B?
Llama 3.3 70B (Together AI) has a larger context window at 131,072 tokens, compared to 128,000 tokens for Nemotron Super 49B. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Llama 3.3 70B (Together AI) and Nemotron Super 49B support the Batch API?
Neither Llama 3.3 70B (Together AI) nor Nemotron Super 49B 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 3.3 70B (Together AI) nor Nemotron Super 49B 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 3.3 70B (Together AI) vs Nemotron Super 49B?
Both models are well-suited for General chatbot. Llama 3.3 70B (Together AI) is particularly strong for Content & copywriting, Code generation. Nemotron Super 49B is favored for Content Creation, Summarization. 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 3.3 70B (Together AI) vs Nemotron Super 49B?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Llama 3.3 70B (Together AI) costs $0.001320 per request and Nemotron Super 49B costs $0.000300 per request. At 100,000 requests/month, that translates to $132.00 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Llama 3.3 70B (Together AI) vs Nemotron Super 49B: Summary
When comparing Llama 3.3 70B (Together AI) and Nemotron Super 49B for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Nemotron Super 49B 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 $132.00/month for Llama 3.3 70B (Together AI).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Llama 3.3 70B (Together AI) charges $0.88/M for input tokens and $0.88/M for output tokens. Nemotron Super 49B charges $0.10/M input and $0.40/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: Llama 3.3 70B (Together AI) supports up to 131,072 tokens in a single request, versus 128,000 tokens for Nemotron Super 49B. 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.
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