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Z.ai: GLM 5 Turbo vs Meta: Muse Spark 1.1

Head-to-head API cost, context, and performance comparison. Synced at 4:37:03 PM.

Executive Summary

When evaluating Z.ai: GLM 5 Turbo against Meta: Muse Spark 1.1, the pricing structure is a key differentiator. Z.ai: GLM 5 Turbo is approximately 5% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Meta: Muse Spark 1.1 leads with a statistical ELO score of 1461. For tasks involving complex logic, coding, or instruction-following, developers might prefer Meta: Muse Spark 1.1, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
Z.ai: GLM 5 Turbo
Meta: Muse Spark 1.1
Performance (ELO)
1461
1461
Input Cost / 1M
$1.20
$1.25
Output Cost / 1M
$4.00
$4.25
Context Window
202,752 tokens
1,048,576 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Z.ai: GLM 5 Turbo wins out aggressively in pricing.

People Also Ask

Is Z.ai: GLM 5 Turbo cheaper than Meta: Muse Spark 1.1?

Yes. Z.ai: GLM 5 Turbo is cheaper for both input and output generation compared to Meta: Muse Spark 1.1. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The Meta: Muse Spark 1.1 model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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