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GPT-3.5 Turbo vs Nemotron Nano 12B 2 VL
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.
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 Nano 12B 2 VL has about 8× the context window of the other in this pair.
Nemotron Nano 12B 2 VL has 699% more context capacity (131K vs 16K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Nemotron Nano 12B 2 VL. Its 131K context fits entire documents without chunking (vs 16K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | GPT-3.5 Turbo | Nemotron Nano 12B 2 VL |
|---|---|---|
| Context window | 16,385 tokens (16K) | 131,072 tokens (131K) |
| Max output tokens | 4,096 tokens (4K) | N/A |
| Speed tier | Balanced | Fast |
| Vision | No | Yes |
| Function calling | Yes | No |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | Yes | No |
| Release date | May 2023 | Oct 2025 |
Frequently asked questions
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Example: a multi-turn chat session
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