Model Comparison

GLM-5 vs Command A+Which is better in 2026?

Comparing GLM-5 and Command A+ across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Command A+ — which is better?

GLM-5 (by Zhipu AI) and Command A+ (by Cohere) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GLM-5 if…

  • you want predictable pricing at $1.00/M input and $3.20/M output

Choose Command A+ if…

  • you want the most recent training data — it shipped May 2026
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Command A+don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

526.0B diff

GLM-5 has 526.0B more parameters than Command A+, making it 241.3% larger.

Zhipu AI
GLM-5
744.0Bparameters
Cohere
Command A+
218.0Bparameters
744.0B
GLM-5
218.0B
Command A+

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Cohere
Command A+
Input- tokens
Output- tokens
Sat Jun 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Command A+ supports multimodal inputs, whereas GLM-5 does not.

Command A+ can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Command A+

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Command A+ uses Apache 2.0.

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

GLM-5

MIT

Open weights

Command A+

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Command A+ was released on 2026-05-20.

Command A+ is 3 months newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

Command A+

May 20, 2026

1 months ago

3mo 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→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Cohere
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Cohere
Command A+

FAQ

Common questions about GLM-5 vs Command A+.

Which is better, GLM-5 or Command A+?

GLM-5 (Zhipu AI) and Command A+ (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to Command A+ in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Command A+ scores AIME 2025: 90.0%, CharXiv-D: 88.0%, MT-AIME 2025: 86.0%, Tau2 Telecom: 85.0%, WMT24++: 81.0%.

What are the context window sizes for GLM-5 and Command A+?

GLM-5 supports 200K tokens and Command A+ 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 GLM-5 and Command A+?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Command A+?

GLM-5 is developed by Zhipu AI and Command A+ is developed by Cohere.

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