Claude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MClaude Fable 5$22.000/MClaude Opus 5$11.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/M

GLM-4-Plus vs Command A

Zhipu AI vs Cohere · Prices checked 12 August 2026

On price Command A edges it, $4.75 per million tokens blended versus $7.00, about 32 per cent less. A single 100K-input, 10K-output job costs $0.350 on Command A against $0.770 on GLM-4-Plus.

These two swap places depending on direction of traffic: Command A leads on an 80/20 input-heavy blend, GLM-4-Plus on a 20/80 output-heavy one. Capability favours Command A, ahead on 5 of 5 suites they both publish. The widest gap is on LMArena Elo, where Command A leads by 36 points. Command A reads more in one request: 256,000 tokens of context against 128,000.

Pricing and capacity

Published token pricing and context window for GLM-4-Plus and Command A
MetricGLM-4-PlusCommand ADifference
Input / 1M tokens$7.00$2.502.8×
Output / 1M tokens$7.00$10.0030%
Blended · 70/30calculated$7.00$4.7532%
Blended · 50/50calculated$7.00$6.2511%
Blended · 80/20calculated$7.00$4.0043%
Blended · 20/80calculated$7.00$8.5018%
Job cost · 100K + 10Kcalculated$0.770$0.3502.2×
Job cost · 1M + 100Kcalculated$7.70$3.502.2×
Context window128,000256,0002.0×

Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.

Benchmarks

Benchmark scores both GLM-4-Plus and Command A report
BenchmarkGLM-4-PlusCommand ALeader
MMLU84%85%Command A
GPQA Diamond51%53%Command A
MATH70%75%Command A
HumanEval80%84%Command A
LMArena Elo1244 Elo1280 EloCommand A

Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.

What each model is for

GLM-4-Plus

Zhipu AI · Frontier

Zhipu's flagship GLM-4. Strong on Chinese-language benchmarks, with frontier-class reasoning at competitive Chinese pricing.

  • Strong on Chinese benchmarks
  • Tool use
  • 128K context
  • Tightly integrated with Zhipu cloud

Command A

Cohere · Previous

Cohere's flagship Command. Built for enterprise RAG and tool use with strong multilingual coverage.

  • Enterprise RAG
  • 256K context
  • Multilingual
  • Tool use

Frequently asked questions

Which is cheaper, GLM-4-Plus or Command A?

On price Command A edges it, $4.75 per million tokens blended versus $7.00, about 32 per cent less. A single 100K-input, 10K-output job costs $0.350 on Command A against $0.770 on GLM-4-Plus. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.

Which performs better, GLM-4-Plus or Command A?

Capability favours Command A, ahead on 5 of 5 suites they both publish. The widest gap is on LMArena Elo, where Command A leads by 36 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.

Which has the larger context window, GLM-4-Plus or Command A?

Command A reads more in one request: 256,000 tokens of context against 128,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.

Can I compare GLM-4-Plus and Command A on my own numbers?

Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.

Price it for your own workload

Related matchups

Terms used on this page

Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.