Meta: Llama 3.3 70B Instruct vs Llama 3.3 Nemotron Super 49B v1.5
Meta: Llama 3.3 70B Instruct and Llama 3.3 Nemotron Super 49B v1.5 are priced within 0.5% of each other on a blended (75% input / 25% output) basis. Meta: Llama 3.3 70B Instruct charges $0.000000 / $0.000000 per 1M input/output tokens; Llama 3.3 Nemotron Super 49B v1.5 charges $0.000000 / $0.000000.
| Field | Meta: Llama 3.3 70B Instruct | Llama 3.3 Nemotron Super 49B v1.5 |
|---|---|---|
| Input $/Mtok | $0.000000 | $0.000000 |
| Output $/Mtok | $0.000000 | $0.000000 |
| Cache read $/Mtok | – | – |
| Cache write $/Mtok | – | – |
| Input $/Mchar | 0.000000 | 0.000000 |
| Output $/Mchar | 0.000000 | 0.000000 |
| Context window | 128000 | 131072 |
| Tokenizer | llama3 | llama3 |
Price history
Same workload, monthly cost
Illustrative monthly cost at 10M tokens/month, split per workload preset. Not a substitute for the calculator, which uses your own volume, cache and batch assumptions.
| Workload | Meta: Llama 3.3 70B Instruct | Llama 3.3 Nemotron Super 49B v1.5 |
|---|---|---|
| Coding agent | $0.00 | $0.00 |
| RAG chat | $0.00 | $0.00 |
| Summarisation (batch) | $0.00 | $0.00 |
| Classification | $0.00 | $0.00 |
| Chat assistant | $0.00 | $0.00 |
| Content generation | $0.00 | $0.00 |
Cite this page
Meta: Llama 3.3 70B Instruct vs Llama 3.3 Nemotron Super 49B v1.5: $0.000000/$0.000000 vs $0.000000/$0.000000 per 1M tokens, as of 2026-10-04 (Token Barometer, https://tokenbarometer.com/compare/meta_llama-3.3-70b-instruct-vs-nvidia_nemotron-super-49b-v1).
Meta: Llama 3.3 70B Instruct page | Llama 3.3 Nemotron Super 49B v1.5 page | Open in calculator