Compare
gpt-oss-20b (free) vs Nemotron 3 Ultra (batch)
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
Nemotron 3 Ultra (batch)
Context window
512K
512,288 tokens · ~384K 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 (batch) has about 3.9× the context window of the other in this pair.
Nemotron 3 Ultra (batch) has 290% more context capacity (512K vs 131K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Nemotron 3 Ultra (batch). Its 512K 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 | gpt-oss-20b (free) | Nemotron 3 Ultra (batch) |
|---|---|---|
| Context window | 131,072 tokens (131K) | 512,288 tokens (512K) |
| Max output tokens | 131,072 tokens (131K) | N/A |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | Yes | Yes |
| Prompt caching | No | Yes |
| Batch API | No | No |
| Release date | Aug 2025 | Jun 2026 |
Frequently asked questions
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