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GLM-5.2 vs Seed 2.1 Pro

GLM-5.2 and Seed 2.1 Pro are closely matched at 46.5 and 47.0 on the LLM Stats Score.

Zhipu AI · ByteDance · Updated for 2026

Which is better?

GLM-5.2 and Seed 2.1 Pro are closely matched on the overall LLM Stats Score at 46.5 and 47.0.

In the 9 individual benchmarks reported for both models, GLM-5.2 wins 6; 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-5.2

  • you value its reported benchmark strengths — it wins 6 of 9 exact shared results
  • you need open weights you can self-host or fine-tune

Choose Seed 2.1 Pro

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

At a glance

The differences that matter most.

Core performance indexes
46.5
#22
47.0
#20
45.8
#22
47.9
#18
38.1
#21
36.0
#25
32.0
#25
33.1
#22
Cost, coverage & limits
Benchmark wins
6 of 9
3 of 9
Input price
$0.95 / M
— / M
Output price
$3.00 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-5.2
Seed 2.1 Pro
41.8#5
39.8#15
23.6#36
27.9#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for GLM-5.2 · 94 for Seed 2.1 Pro

9 shared

GLM-5.2 outperforms in 6 benchmarks (DeepSWE, NL2Repo, PostTrainBench, Program Bench, SWE-Bench Pro, Terminal-Bench 2.1), while Seed 2.1 Pro is better at 3 benchmarks (Humanity's Last Exam, MCP Atlas, Toolathlon).

GLM-5.2 shows notably better performance in the majority of benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (131,072 tokens).

Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output131,072 tokens
ByteDance
Seed 2.1 Pro
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Seed 2.1 Pro supports multimodal inputs, whereas GLM-5.2 does not.

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

GLM-5.2

Text
Images
Audio
Video

Seed 2.1 Pro

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.2 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-5.2

MIT

Open weights

Seed 2.1 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5.2 was released on 2026-06-16, while Seed 2.1 Pro was released on 2026-06-24.

Seed 2.1 Pro is 0 month newer than GLM-5.2.

GLM-5.2

Jun 16, 2026

2 months ago

Seed 2.1 Pro

Jun 24, 2026

2 months ago

1w 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-5.2 and Seed 2.1 Pro side-by-side, then vote on the output you prefer.

GLM-5.2
✓ Preferred
Seed 2.1 Pro
Open in Playground

FAQ

Common questions about GLM-5.2 vs Seed 2.1 Pro.

Which is better, GLM-5.2 or Seed 2.1 Pro?

GLM-5.2 and Seed 2.1 Pro are closely matched on the LLM Stats Score at 46.5 and 47.0. GLM-5.2 is made by Zhipu AI and Seed 2.1 Pro is made by ByteDance. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.2 compare to Seed 2.1 Pro in benchmarks?

GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%. 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-5.2 and Seed 2.1 Pro?

GLM-5.2 supports 1.0M 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-5.2 and Seed 2.1 Pro?

Key differences include LLM Stats Score (46.5 vs 47.0), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.2 and Seed 2.1 Pro?

GLM-5.2 is developed by Zhipu AI and Seed 2.1 Pro is developed by ByteDance.