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Z.ai: GLM 5 Turbo vs Qwen: Qwen3.5-122B-A10B

Head-to-head API cost, context, and performance comparison. Synced at 11:21:51 AM.

Executive Summary

When evaluating Z.ai: GLM 5 Turbo against Qwen: Qwen3.5-122B-A10B, the pricing structure is a key differentiator. Qwen: Qwen3.5-122B-A10B is approximately 44% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Qwen: Qwen3.5-122B-A10B leads with a statistical ELO score of 1120. For tasks involving complex logic, coding, or instruction-following, developers might prefer Qwen: Qwen3.5-122B-A10B, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Z.ai: GLM 5 Turbo
Qwen: Qwen3.5-122B-A10B
Performance (ELO)
1120
1120
Input Cost / 1M
$0.96
$0.26
Output Cost / 1M
$3.20
$2.08
Context Window
202,752 tokens
262,144 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Qwen: Qwen3.5-122B-A10B wins out aggressively in pricing.

People Also Ask

Is Z.ai: GLM 5 Turbo cheaper than Qwen: Qwen3.5-122B-A10B?

No. Qwen: Qwen3.5-122B-A10B is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Qwen: Qwen3.5-122B-A10B model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.

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