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Z.ai: GLM 5.2 (batch) vs NVIDIA: Nemotron 3 Ultra (batch)

Head-to-head API cost, context, and performance comparison. Synced at 4:25:25 PM.

Executive Summary

When evaluating Z.ai: GLM 5.2 (batch) against NVIDIA: Nemotron 3 Ultra (batch), the pricing structure is a key differentiator. NVIDIA: Nemotron 3 Ultra (batch) is approximately 28% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, NVIDIA: Nemotron 3 Ultra (batch) leads with a statistical ELO score of 1437. For tasks involving complex logic, coding, or instruction-following, developers might prefer NVIDIA: Nemotron 3 Ultra (batch), provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Z.ai: GLM 5.2 (batch)
NVIDIA: Nemotron 3 Ultra (batch)
Performance (ELO)
1437
1437
Input Cost / 1M
$0.70
$0.30
Output Cost / 1M
$2.20
$1.80
Context Window
512,000 tokens
512,288 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 Ultra (batch) wins out aggressively in pricing.

People Also Ask

Is Z.ai: GLM 5.2 (batch) cheaper than NVIDIA: Nemotron 3 Ultra (batch)?

No. NVIDIA: Nemotron 3 Ultra (batch) is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The NVIDIA: Nemotron 3 Ultra (batch) model has the advantage in memory, offering a massive 512,288 token limit for document ingestion.

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