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GLM-4.5V vs Hy4 preview

Comparing GLM-4.5V and Hy4 preview across benchmarks, pricing, and capabilities.

Zhipu AI · Tencent · Updated for 2026

Which is better?

GLM-4.5V and Hy4 preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GLM-4.5V

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose Hy4 preview

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

At a glance

The differences that matter most.

GLM-4.5V
Zhipu AI
Hy4 preview
Tencent
Benchmark wins
—
—
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
—

Individual benchmarks

0 reported for GLM-4.5V · 32 for Hy4 preview

No common benchmarks found

GLM-4.5V and Hy4 previewdon'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

662.0B diff

Hy4 preview has 662.0B more parameters than GLM-4.5V, making it 613.0% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Tencent
Hy4 preview
770.0Bparameters
108.0B
GLM-4.5V
770.0B
Hy4 preview

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-4.5V supports multimodal inputs, whereas Hy4 preview does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5V

Text
Images
Audio
Video

Hy4 preview

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while Hy4 preview uses Apache 2.0.

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

GLM-4.5V

MIT

Open weights

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Hy4 preview was released on 2026-08-28.

Hy4 preview is 13 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

1.1 years ago

Hy4 preview

Aug 28, 2026

1 weeks ago

1.0yr 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-4.5V and Hy4 preview side-by-side, then vote on the output you prefer.

GLM-4.5V
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about GLM-4.5V vs Hy4 preview.

Which is better, GLM-4.5V or Hy4 preview?

GLM-4.5V (Zhipu AI) and Hy4 preview (Tencent) 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-4.5V compare to Hy4 preview in benchmarks?

Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%.

What are the context window sizes for GLM-4.5V and Hy4 preview?

GLM-4.5V supports 131K tokens and Hy4 preview 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-4.5V and Hy4 preview?

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

Who makes GLM-4.5V and Hy4 preview?

GLM-4.5V is developed by Zhipu AI and Hy4 preview is developed by Tencent.

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