Model Comparison

GLM-5 vs Seed 2.0 Pro

Both models are evenly matched across the benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Seed 2.0 Pro is better at 1 benchmark (BrowseComp).

Both models are evenly matched across the benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
ByteDance
Seed 2.0 Pro
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

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 2.0 Pro
Input- tokens
Output- tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Seed 2.0 Pro supports multimodal inputs, whereas GLM-5 does not.

Seed 2.0 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 2.0 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Seed 2.0 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 2.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Seed 2.0 Pro was released on 2026-02-14.

Seed 2.0 Pro is 0 month newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

Seed 2.0 Pro

Feb 14, 2026

2 months ago

3d newer

Knowledge Cutoff

When training data ends

Seed 2.0 Pro has a documented knowledge cutoff of 2024-01-01, while GLM-5's cutoff date is not specified.

We can confirm Seed 2.0 Pro's training data extends to 2024-01-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Seed 2.0 Pro

Jan 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
Higher SWE-Bench Verified score (77.8% vs 76.5%)
ByteDance
Supports multimodal inputs
Higher BrowseComp score (77.3% vs 75.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
ByteDance
Seed 2.0 Pro

FAQ

Common questions about GLM-5 vs Seed 2.0 Pro

Both models are evenly matched across the benchmarks. GLM-5 is made by Zhipu AI and Seed 2.0 Pro is made by ByteDance. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 2.0 Pro scores AIME 2025: 98.3%, AIME 2026: 94.2%, GPQA: 88.9%, LiveCodeBench v6: 87.8%, BrowseComp: 77.3%.
GLM-5 supports 200K tokens and Seed 2.0 Pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Seed 2.0 Pro is developed by ByteDance.