Model Comparison

Hy3 vs GLM-5V-TurboWhich is better in 2026?

GLM-5V-Turbo significantly outperforms across most benchmarks.

Verdict: Hy3 vs GLM-5V-Turbo — which is better?

Hy3 (by Tencent) and GLM-5V-Turbo (by Zhipu AI) 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.

Hy3 outperforms in 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval). GLM-5V-Turbo significantly outperforms across most benchmarks.

Choose Hy3 if…

  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

Choose GLM-5V-Turbo if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Hy3 outperforms in 0 benchmarks, while GLM-5V-Turbo is better at 1 benchmark (Claw-Eval).

GLM-5V-Turbo significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Tencent
Hy3
Input- tokens
Output- tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5V-Turbo supports multimodal inputs, whereas Hy3 does not.

GLM-5V-Turbo can handle both text and other forms of data like images, making it suitable for multimodal applications.

Hy3

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Hy3 is licensed under Apache 2.0, while GLM-5V-Turbo uses a proprietary license.

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

Hy3

Apache 2.0

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while GLM-5V-Turbo was released on 2026-04-02.

Hy3 is 3 months newer than GLM-5V-Turbo.

Hy3

Jul 6, 2026

1 weeks ago

3mo newer
GLM-5V-Turbo

Apr 2, 2026

3 months 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→

Key Takeaways

Tencent
Has open weights
Zhipu AI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher Claw-Eval score (75.0% vs 68.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Hy3 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Tencent
Hy3
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Hy3 vs GLM-5V-Turbo.

Which is better, Hy3 or GLM-5V-Turbo?

GLM-5V-Turbo significantly outperforms across most benchmarks. Hy3 is made by Tencent and GLM-5V-Turbo is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Hy3 compare to GLM-5V-Turbo in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

What are the context window sizes for Hy3 and GLM-5V-Turbo?

Hy3 supports an unknown number of tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Hy3 and GLM-5V-Turbo?

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

Who makes Hy3 and GLM-5V-Turbo?

Hy3 is developed by Tencent and GLM-5V-Turbo is developed by Zhipu AI.

Related comparisons