Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Command A vs Z.ai: GLM 4.5 benchmark

Name: Command A vs Z.ai: GLM 4.5 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Command A (Cohere) and Z.ai: GLM 4.5 (Zhipu) using the latest snapshots we have as of Aug 17, 2026. Z.ai: GLM 4.5 wins on output price at $2.2/1M. Command A has the larger context window (256k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Cohere

Command A

Cohere enterprise RAG and tool-use model.

Elo 1,344$10/1M out

Zhipu

Z.ai: GLM 4.5

Auto-discovered from OpenRouter (z-ai/glm-4.5). Preview until a second source matches.

$2.2/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (7)vsZ.ai: GLM 4.5 (2)

Command A: 7W (78%)Overall: Command AZ.ai: GLM 4.5: 2W (22%)

← Command AZ.ai: GLM 4.5 →

Command A (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,344vs—

Coding Elo

—vs—

SWE-bench

42.6%vs—

LiveBench

56.2%vs—

GPQA Diamond

66%vs—

Command A: 4WZ.ai: GLM 4.5: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs—

Time to first token

175 msvs—

Command A: 2WZ.ai: GLM 4.5: 0W

Z.ai: GLM 4.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$2.2/1M

Input price

$2.5/1Mvs$0.6/1M

Context window

256kvs131k

Command A: 1WZ.ai: GLM 4.5: 2W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageCommand A 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Z.ai: GLM 4.5

$7.80/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,344

EloHigh is better

—

LiveBench

High is better

56.2%

LiveBenchHigh is better

—

SWE-bench

High is better

42.6%

SWE-benchHigh is better

—

GPQA

High is better

66%

GPQAHigh is better

—

TTFT

Low is better

175 ms

TTFTLow is better

—

Speed

High is better

118 tok/s

SpeedHigh is better

—

In $

Low is better

$2.5/1M

In $Low is better

$0.6/1M+317%

Out $

Low is better

$10/1M

Out $Low is better

$2.2/1M+355%

Context

High is better

+95%256k

ContextHigh is better

131k

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 77% with Z.ai: GLM 4.5

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Command A$237.50 / mo

In: $87.50Out: $150.00

Z.ai: GLM 4.5$54.00 / mo

In: $21.00Out: $33.00

Estimated Cost Delta

Z.ai: GLM 4.5 is estimated to save $183.50/month ($2,202/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Z.ai: GLM 4.5:Pick Z.ai: GLM 4.5 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatZ.ai: GLM 4.5

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionZ.ai: GLM 4.5

Z.ai: GLM 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Z.ai: GLM 4.5	Lower output list price ($2.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	Z.ai: GLM 4.5	Z.ai: GLM 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchMar 13, 2025

Command A: Cohere’s enterprise RAG and tool-use row

Mar 2025. RAG and tools, not a frontier Elo play. Listed so “command a benchmark” has a sourced page.

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LIVE

Cohere

Command A

Elo 1,344

LiveBench56.2%

SWE-bench42.6%

Speed118 tok/s

Output cost$10/1M

Zhipu

Z.ai: GLM 4.5

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$2.2/1M

Frequently Asked Questions

Which is better overall, Command A or Z.ai: GLM 4.5?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Command A or Z.ai: GLM 4.5?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Z.ai: GLM 4.5 output tokens are $2.2/1M versus $10/1M. Input prices and retry rates still move the real bill.
Which is faster, Command A or Z.ai: GLM 4.5?: We do not have TTFT for both models.
Which has the larger context window?: Command A accepts 256k tokens versus 131k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Command A and Z.ai: GLM 4.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Command A matchups →|All Z.ai: GLM 4.5 matchups →

GLM-5.3 vs Command A GLM-5.2 vs Command A Z.ai: GLM 5V Turbo vs Command A Mistral Large 3 vs Command A Doubao Pro 1.5 vs Command A Yi-Lightning vs Command A

Command A vs Z.ai: GLM 4.5 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Command A (7)vsZ.ai: GLM 4.5 (2)

Command A: 7W (78%)Overall: Command AZ.ai: GLM 4.5: 2W (22%)

← Command AZ.ai: GLM 4.5 →

Command A (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,344vs—

Coding Elo

—vs—

SWE-bench

42.6%vs—

LiveBench

56.2%vs—

GPQA Diamond

66%vs—

Command A: 4WZ.ai: GLM 4.5: 0W

Command A (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

118 tok/svs—

Time to first token

175 msvs—

Command A: 2WZ.ai: GLM 4.5: 0W

Z.ai: GLM 4.5 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$10/1Mvs$2.2/1M

Input price

$2.5/1Mvs$0.6/1M

Context window

256kvs131k

Command A: 1WZ.ai: GLM 4.5: 2W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatZ.ai: GLM 4.5

Lower output list price ($2.2/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGCommand A

Larger window (256k).

Screenshots / visionZ.ai: GLM 4.5

Z.ai: GLM 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Z.ai: GLM 4.5	Lower output list price ($2.2/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Command A	Larger window (256k).
Screenshots / vision	Z.ai: GLM 4.5	Z.ai: GLM 4.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Command A or Z.ai: GLM 4.5?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Command A or Z.ai: GLM 4.5?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Z.ai: GLM 4.5 output tokens are $2.2/1M versus $10/1M. Input prices and retry rates still move the real bill.

Which is faster, Command A or Z.ai: GLM 4.5?

We do not have TTFT for both models.

Which has the larger context window?

Command A accepts 256k tokens versus 131k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Command A and Z.ai: GLM 4.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Z.ai: GLM 4.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Command A

Z.ai: GLM 4.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Z.ai: GLM 4.5

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Command A: Cohere’s enterprise RAG and tool-use row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Command A

Z.ai: GLM 4.5

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons