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GLM-5.3 vs Grok-1.5V

Comparing GLM-5.3 and Grok-1.5V across benchmarks, pricing, and capabilities.

Zhipu AI · xAI · Updated for 2026

Which is better?

GLM-5.3 and Grok-1.5V trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GLM-5.3

  • you want the most recent training data — it shipped Aug 2026

Choose Grok-1.5V

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Grok-1.5V
xAI
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Apr 2024
License
Unknown
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Grok-1.5Vdon'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

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output131,072 tokens
xAI
Grok-1.5V
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-1.5V supports multimodal inputs, whereas GLM-5.3 does not.

Grok-1.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Grok-1.5V was released on 2024-04-12.

GLM-5.3 is 28 months newer than Grok-1.5V.

GLM-5.3

Aug 14, 2026

1 weeks ago

2.3yr newer
Grok-1.5V

Apr 12, 2024

2.4 years ago

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 GLM-5.3 and Grok-1.5V side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Grok-1.5V
Open in Playground

FAQ

Common questions about GLM-5.3 vs Grok-1.5V.

Which is better, GLM-5.3 or Grok-1.5V?

GLM-5.3 (Zhipu AI) and Grok-1.5V (xAI) 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-5.3 compare to Grok-1.5V in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%.

What are the context window sizes for GLM-5.3 and Grok-1.5V?

GLM-5.3 supports 1.0M tokens and Grok-1.5V 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-5.3 and Grok-1.5V?

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

Who makes GLM-5.3 and Grok-1.5V?

GLM-5.3 is developed by Zhipu AI and Grok-1.5V is developed by xAI.

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