The AI arena is free today

Open Superagent

GLM-5.3-Flash vs Hy4 preview

GLM-5.3-Flash and Hy4 preview are closely matched at 51.1 and 51.5 on the LLM Stats Score.

Zhipu AI · Tencent · Updated for 2026

Which is better?

GLM-5.3-Flash and Hy4 preview are closely matched on the overall LLM Stats Score at 51.1 and 51.5.

In the 7 individual benchmarks reported for both models, GLM-5.3-Flash wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose GLM-5.3-Flash

  • you value its reported benchmark strengths — it wins 4 of 7 exact shared results

Choose Hy4 preview

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

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Hy4 preview
Tencent
Core performance indexes
LLM Stats Score
51.1
#12
51.5
#10
Reasoning
49.9
#14
51.2
#8
Coding
36.0
#24
40.9
#10
Agents
37.7
#10
37.1
#11
Cost, coverage & limits
Benchmark wins
4 of 7
3 of 7
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3-Flash
Hy4 preview
Tool use
33.7#3
32.6#7
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for GLM-5.3-Flash · 32 for Hy4 preview

7 shared

GLM-5.3-Flash outperforms in 4 benchmarks (Agents' Last Exam, AutomationBench, GDPval-AA, Toolathlon), while Hy4 preview is better at 3 benchmarks (NL2Repo, OfficeQA Pro, Terminal-Bench 2.1).

GLM-5.3-Flash has a slight edge in benchmark performance.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

450.0B diff

Hy4 preview has 450.0B more parameters than GLM-5.3-Flash, making it 140.6% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Tencent
Hy4 preview
770.0Bparameters
320.0B
GLM-5.3-Flash
770.0B
Hy4 preview

Context Window

Maximum input and output token capacity

Only GLM-5.3-Flash specifies input context (1,048,576 tokens). Only GLM-5.3-Flash specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GLM-5.3-Flash supports multimodal inputs, whereas Hy4 preview does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

Hy4 preview

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Hy4 preview was released on 2026-08-28.

Hy4 preview is 0 month newer than GLM-5.3-Flash.

GLM-5.3-Flash

Aug 26, 2026

5 days ago

Hy4 preview

Aug 28, 2026

3 days ago

2d 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-5.3-Flash and Hy4 preview side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Hy4 preview.

Which is better, GLM-5.3-Flash or Hy4 preview?

GLM-5.3-Flash and Hy4 preview are closely matched on the LLM Stats Score at 51.1 and 51.5. GLM-5.3-Flash is made by Zhipu AI and Hy4 preview is made by Tencent. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3-Flash compare to Hy4 preview in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. 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-5.3-Flash and Hy4 preview?

GLM-5.3-Flash supports 1.0M 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-5.3-Flash and Hy4 preview?

Key differences include LLM Stats Score (51.1 vs 51.5), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and Hy4 preview?

GLM-5.3-Flash is developed by Zhipu AI and Hy4 preview is developed by Tencent.

Related comparisons