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NVIDIA: Nemotron 3 Nano 30B A3B vs Qwen: Qwen3.5-Flash

Head-to-head API cost, context, and performance comparison. Synced at 11:20:26 AM.

Executive Summary

When evaluating NVIDIA: Nemotron 3 Nano 30B A3B against Qwen: Qwen3.5-Flash, the pricing structure is a key differentiator. NVIDIA: Nemotron 3 Nano 30B A3B is approximately 50% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.5-Flash leads with a statistical ELO score of 1150. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5-Flash, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
NVIDIA: Nemotron 3 Nano 30B A3B
Qwen: Qwen3.5-Flash
Performance (ELO)
1150
1150
Input Cost / 1M
$0.05
$0.10
Output Cost / 1M
$0.20
$0.40
Context Window
262,144 tokens
1,000,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, NVIDIA: Nemotron 3 Nano 30B A3B wins out aggressively in pricing.

People Also Ask

Is NVIDIA: Nemotron 3 Nano 30B A3B cheaper than Qwen: Qwen3.5-Flash?

Yes. NVIDIA: Nemotron 3 Nano 30B A3B is cheaper for both input and output generation compared to Qwen: Qwen3.5-Flash. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Qwen: Qwen3.5-Flash model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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