Z.ai: GLM 5 vs Mistral: Mistral Medium 3.5
Head-to-head API cost, context, and performance comparison. Synced at 4:10:56 PM.
Executive Summary
When evaluating Z.ai: GLM 5 against Mistral: Mistral Medium 3.5, the pricing structure is a key differentiator. Z.ai: GLM 5 is approximately 72% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Mistral: Mistral Medium 3.5 leads with a statistical ELO score of 1457. For tasks involving complex logic, coding, or instruction-following, developers might prefer Mistral: Mistral Medium 3.5, provided their budget allows for the API burn rate.
You are losing 72%
per million tokens by hardcoding Mistral: Mistral Medium 3.5.
Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 72% gap in your production environment instantly.
Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Mistral: Mistral Medium 3.5 is statistically superior. However, if API burn rate is the primary concern, Z.ai: GLM 5 wins out aggressively in pricing.
People Also Ask
Is Z.ai: GLM 5 cheaper than Mistral: Mistral Medium 3.5?
Yes. Z.ai: GLM 5 is cheaper for both input and output generation compared to Mistral: Mistral Medium 3.5. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The Mistral: Mistral Medium 3.5 model has the advantage in memory, offering a massive 262,144 token limit for document ingestion.