NVIDIA · model
Llama 3.3 Nemotron Super 49B V1.5
$0.40/1M in · $0.40/1M out · 131K context. That's cheaper than 77% of the 298 models we track, by output price. Here's what it costs, how its price has moved, and where it fits.
- Context
- 131K
- Input / 1M
- $0.40
- Output / 1M
- $0.40
- Modality
- Text only
- Provider
- NVIDIA
- Tokenizer
- Llama3
Snapshot · source: OpenRouter ↗ · how we measure →
For 1,500 input + 500 output tokens across 200,000 requests/month. That's 27× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).
2026-06-14 → 2026-06-15. Full history →
Where it fits
- High-volume, cost-sensitive work — at $0.40/1M output it sits in the cheapest quarter of tracked models.
Watch for
- Priced from OpenRouter's routed market, not a first-party list price — availability and rate can shift without notice.
- Text-only — no image, audio, or file input.
These notes are derived from price, context and modality — structural facts, not measured quality. Measured cost-to-finish-a-task lives on the real-cost index.
Related models
How to read Llama 3.3 Nemotron Super 49B V1.5's pricing
Two numbers decide most of the bill: $0.40/1M for input (everything you send — prompt, context, attachments) and $0.40/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 1.0× the input rate here, so the shape of your workload — how much it reads versus writes — matters as much as the headline figure. This row is OpenRouter's routed market price; it can move as providers and routing change.
Frequently asked questions
How much does Llama 3.3 Nemotron Super 49B V1.5 cost per million tokens?
Llama 3.3 Nemotron Super 49B V1.5 is priced at $0.40 per 1M input tokens and $0.40 per 1M output tokens, from OpenRouter's routed market price as of the 2026-06-15 snapshot. Output is the figure that usually drives the bill. Enter your own token volumes in the cost calculator for a monthly estimate.
What is Llama 3.3 Nemotron Super 49B V1.5's context window?
Llama 3.3 Nemotron Super 49B V1.5 has a 131K-token context window — roughly 197 pages of text. Prompt, attachments, conversation and the model's own output all share that budget, and every token you send is billed at the input rate.
Related
- API cost calculator — your monthly cost for Llama 3.3 Nemotron Super 49B V1.5 and every other model.
- Model comparison — the full sortable table.
- Price history — how token prices move over time.
- LLM pricing explained — input, output, cached and reasoning tokens.