Z.ai: GLM 4.5V vs Qwen: Qwen3.5-122B-A10B
Head-to-head API cost, context, and performance comparison. Synced at 11:23:04 AM.
Executive Summary
When evaluating Z.ai: GLM 4.5V against Qwen: Qwen3.5-122B-A10B, the pricing structure is a key differentiator. Qwen: Qwen3.5-122B-A10B is approximately 3% 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.
Raw Technical comparison
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 4.5V 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.