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OpenAI: GPT-3.5 Turbo (batch) vs Z.ai: GLM 5.2 (batch)

Head-to-head API cost, context, and performance comparison. Synced at 4:19:18 PM.

Executive Summary

When evaluating OpenAI: GPT-3.5 Turbo (batch) against Z.ai: GLM 5.2 (batch), the pricing structure is a key differentiator. OpenAI: GPT-3.5 Turbo (batch) is approximately 66% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Z.ai: GLM 5.2 (batch) leads with a statistical ELO score of 1437. For tasks involving complex logic, coding, or instruction-following, developers might prefer Z.ai: GLM 5.2 (batch), provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-3.5 Turbo (batch)
Z.ai: GLM 5.2 (batch)
Performance (ELO)
1437
1437
Input Cost / 1M
$0.25
$0.70
Output Cost / 1M
$0.75
$2.20
Context Window
16,385 tokens
512,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-3.5 Turbo (batch) wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-3.5 Turbo (batch) cheaper than Z.ai: GLM 5.2 (batch)?

Yes. OpenAI: GPT-3.5 Turbo (batch) is cheaper for both input and output generation compared to Z.ai: GLM 5.2 (batch). Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Z.ai: GLM 5.2 (batch) model has the advantage in memory, offering a massive 512,000 token limit for document ingestion.

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