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Nemotron 3 Super (free) vs Openai Gpt 4o
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 Super (free)
Context window
262K
262,144 tokens · ~197K 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 Super (free) has about 2× the context window of the other in this pair.
Nemotron 3 Super (free) has 104% more context capacity (262K vs 128K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Nemotron 3 Super (free). Its 262K context fits entire documents without chunking (vs 128K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Nemotron 3 Super (free) | Openai Gpt 4o |
|---|---|---|
| Context window | 262,144 tokens (262K) | 128,000 tokens (128K) |
| Max output tokens | 262,144 tokens (262K) | N/A |
| Speed tier | Balanced | Balanced |
| Vision | No | No |
| Function calling | Yes | No |
| Extended thinking | Yes | No |
| Prompt caching | No | No |
| Batch API | No | Yes |
| Release date | Mar 2026 | N/A |
Pricing matrix
Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.
| Provider | Nemotron 3 Super (free) in | Nemotron 3 Super (free) out | Openai Gpt 4o in | Openai Gpt 4o out |
|---|---|---|---|---|
| Gradient | — | — | — | — |
Frequently asked questions
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