Model Comparison

GLM-5 vs Seed 2.1 ProWhich is better in 2026?

Seed 2.1 Pro significantly outperforms across most benchmarks.

Verdict: GLM-5 vs Seed 2.1 Pro — which is better?

GLM-5 (by Zhipu AI) and Seed 2.1 Pro (by ByteDance) 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.

GLM-5 outperforms in 0 benchmarks, while Seed 2.1 Pro is better at 2 benchmarks (BrowseComp, MCP Atlas). Seed 2.1 Pro significantly outperforms across most benchmarks.

Choose GLM-5 if…

  • you need open weights you can self-host or fine-tune

Choose Seed 2.1 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jun 2026
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 0 benchmarks, while Seed 2.1 Pro is better at 2 benchmarks (BrowseComp, MCP Atlas).

Seed 2.1 Pro significantly outperforms across most benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
ByteDance
Seed 2.1 Pro
Input- tokens
Output- tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Seed 2.1 Pro supports multimodal inputs, whereas GLM-5 does not.

Seed 2.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Seed 2.1 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Seed 2.1 Pro uses a proprietary license.

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

GLM-5

MIT

Open weights

Seed 2.1 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Seed 2.1 Pro was released on 2026-06-24.

Seed 2.1 Pro is 4 months newer than GLM-5.

GLM-5

Feb 11, 2026

4 months ago

Seed 2.1 Pro

Jun 24, 2026

1 days ago

4mo 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→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
ByteDance
Supports multimodal inputs
Higher BrowseComp score (86.2% vs 75.9%)
Higher MCP Atlas score (83.8% vs 67.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
ByteDance
Seed 2.1 Pro

FAQ

Common questions about GLM-5 vs Seed 2.1 Pro.

Which is better, GLM-5 or Seed 2.1 Pro?

Seed 2.1 Pro significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Seed 2.1 Pro is made by ByteDance. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Seed 2.1 Pro in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Seed 2.1 Pro scores CharXiv-D: 95.5%, MathVision: 94.5%, MathVista: 90.7%, MathVerse: 89.7%, Video-MME: 89.2%.

What are the context window sizes for GLM-5 and Seed 2.1 Pro?

GLM-5 supports 200K tokens and Seed 2.1 Pro 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 and Seed 2.1 Pro?

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

Who makes GLM-5 and Seed 2.1 Pro?

GLM-5 is developed by Zhipu AI and Seed 2.1 Pro is developed by ByteDance.

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