Command A vs GLM-5
Side-by-side benchmark comparison across coding, math, reasoning, speed, and pricing.
GLM-5 by Zhipu AI wins on 4 of 7 benchmarks against Command A by Cohere, which leads on 3. This head-to-head comparison covers coding, math, reasoning, speed, and pricing metrics from our benchmark data.
Category-by-Category Breakdown
General Intelligence: In general intelligence, GLM-5 scores 1456 on Chatbot Arena ELO compared to Command A's 1250.
Reasoning: In reasoning, GLM-5 scores 78.6% on GPQA Diamond compared to Command A's 45.0%.
Context: In context, Command A scores 256K on Context Length compared to GLM-5's 205K.
Pricing Comparison
Command A costs $2.5/1M input tokens and $10.0/1M output tokens, while GLM-5 costs $0.60/1M input and $1.9/1M output. GLM-5 is the more affordable option for API usage.
Speed Comparison
Command A generates output at 70 tok/s compared to GLM-5's 55 tok/s, and the time to first token is 400 ms for Command A versus 1030 ms for GLM-5. Command A delivers faster throughput.
Verdict
For developers prioritizing speed, Command A has the edge. For those who value general intelligence and affordability, GLM-5 is the stronger choice.
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Command A vs GLM-5 — FAQ
Which is better, Command A or GLM-5?
GLM-5 wins on more benchmarks overall (4 vs 3). However, the best choice depends on your specific needs — each model excels in different areas.
How does Command A compare to GLM-5 for coding?
SWE-bench Verified data is not available for both models. Check the detailed comparison charts above for other coding-related metrics.
Is Command A cheaper than GLM-5?
Yes, GLM-5 is cheaper. Command A costs $2.5/1M input and $10.0/1M output tokens. GLM-5 costs $0.60/1M input and $1.9/1M output tokens.
Which is faster, Command A or GLM-5?
Command A is faster, generating output at 70 tok/s compared to 55 tok/s. Faster output speed means shorter wait times for API responses.
What benchmarks does the Command A vs GLM-5 comparison cover?
This comparison covers 7 benchmarks including Chatbot Arena ELO, GPQA Diamond, Output Speed, Time to First Token, Input Cost, Output Cost, Context Length. Metrics span general intelligence, coding, math, reasoning, speed, and cost categories.