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Command R+ vs GLM-4.5-Air

GLM-4.5-Air leads the LLM Stats Score 24.6 to -0.2.

Cohere · Zhipu AI · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.6 to -0.2, ranking #153 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Command R+

  • you want predictable pricing at $0.25/M input and $1.00/M output

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.6 and ranks #153 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Core performance indexes
-0.2
#315
24.6
#153
-0.5
#310
24.0
#151
Cost, coverage & limits
Benchmark wins
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Command R+
GLM-4.5-Air
-1.7#299
22.7#128
1.7#179
26.7#41
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 14 for GLM-4.5-Air

No common benchmarks found

Command R+ and GLM-4.5-Airdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

2.0B diff

GLM-4.5-Air has 2.0B more parameters than Command R+, making it 1.9% larger.

Cohere
Command R+
104.0Bparameters
Zhipu AI
GLM-4.5-Air
106.0Bparameters
104.0B
Command R+
106.0B
GLM-4.5-Air

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while GLM-4.5-Air uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Command R+

CC BY-NC

Open weights

GLM-4.5-Air

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while GLM-4.5-Air was released on 2025-07-28.

GLM-4.5-Air is 11 months newer than Command R+.

Command R+

Aug 30, 2024

2.0 years ago

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

11mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Command R+ and GLM-4.5-Air side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
GLM-4.5-Air
Open in Playground

FAQ

Common questions about Command R+ vs GLM-4.5-Air.

Which is better, Command R+ or GLM-4.5-Air?

GLM-4.5-Air leads the LLM Stats Score 24.6 to -0.2. Command R+ is made by Cohere and GLM-4.5-Air is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Command R+ compare to GLM-4.5-Air in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%.

What are the context window sizes for Command R+ and GLM-4.5-Air?

Command R+ supports 128K tokens and GLM-4.5-Air supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command R+ and GLM-4.5-Air?

Key differences include LLM Stats Score (-0.2 vs 24.6), licensing (CC BY-NC vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and GLM-4.5-Air?

Command R+ is developed by Cohere and GLM-4.5-Air is developed by Zhipu AI.