Compare
Llama 3.1 70B Instruct vs Nemotron 3 Ultra
This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.
Model
Llama 3.1 70B Instruct
Context window
131K
131,072 tokens · ~98K words
Context window · side by side
Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.
Nemotron 3 Ultra has about 7.6× the context window of the other in this pair.
Nemotron 3 Ultra has 662% more context capacity (1000K vs 131K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Nemotron 3 Ultra. Its 1000K context fits entire documents without chunking (vs 131K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Llama 3.1 70B Instruct | Nemotron 3 Ultra |
|---|---|---|
| Context window | 131,072 tokens (131K) | 1,000,000 tokens (1000K) |
| Max output tokens | N/A | 16,384 tokens (16K) |
| Speed tier | Deep | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | Jul 2024 | Jun 2026 |
Frequently asked questions
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Example: a multi-turn chat session
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