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Command R+ vs GLM-5.3

Comparing Command R+ and GLM-5.3 across benchmarks, pricing, and capabilities.

Cohere · Zhipu AI · Updated for 2026

Which is better?

Command R+ and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Command R+ is roughly 4.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Command R+

  • cost matters — it's about 4.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Command R+
Cohere
GLM-5.3
Zhipu AI
Benchmark wins
—
—
Input price
$0.25 / M
$1.40 / M
Output price
$1.00 / M
$4.40 / M
Context window
128,000
1,000,000
Released
Aug 2024
Aug 2026
License
CC BY-NC
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and GLM-5.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 5.6x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 4.4x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than Command R+.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Aug 24 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

649.0B diff

GLM-5.3 has 649.0B more parameters than Command R+, making it 624.0% larger.

Cohere
Command R+
104.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
104.0B
Command R+
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Command R+'s 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 24 months newer than Command R+.

Command R+

Aug 30, 2024

2.0 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

2.0yr 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

Provider Availability

Command R+ is available from Cohere, Bedrock. GLM-5.3 is available from ZAI.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Command R+ and GLM-5.3 side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Command R+ vs GLM-5.3.

Which is better, Command R+ or GLM-5.3?

Command R+ (Cohere) and GLM-5.3 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to GLM-5.3 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is Command R+ cheaper than GLM-5.3?

Command R+ is 5.6x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for Command R+ and GLM-5.3?

Command R+ supports 128K tokens and GLM-5.3 supports 1.0M 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-5.3?

Key differences include context window (128K vs 1.0M), input pricing ($0.25 vs $1.40/M), licensing (CC BY-NC vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and GLM-5.3?

Command R+ is developed by Cohere and GLM-5.3 is developed by Zhipu AI.

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