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GLM-5.3 vs Hy3

GLM-5.3 leads the LLM Stats Score 54.2 to 42.9.

Zhipu AI · Tencent · Updated for 2026

Which is better?

GLM-5.3 leads the overall LLM Stats Score 54.2 to 42.9, ranking #6 overall.

In the 3 individual benchmarks reported for both models, GLM-5.3 wins 3; 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

  • overall performance matters — it scores 54.2 and ranks #6 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Aug 2026

Choose Hy3

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

At a glance

The differences that matter most.

Core performance indexes
54.2
#6
42.9
#39
53.4
#5
42.9
#37
45.4
#6
35.0
#27
41.2
#5
28.2
#36
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3
Hy3
35.4#2
23.2#39
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for GLM-5.3 · 31 for Hy3

3 shared

GLM-5.3 outperforms in 3 benchmarks (NL2Repo, Terminal-Bench 2.1, Toolathlon), while Hy3 is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

458.0B diff

GLM-5.3 has 458.0B more parameters than Hy3, making it 155.3% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Tencent
Hy3
295.0Bparameters
753.0B
GLM-5.3
295.0B
Hy3

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output131,072 tokens
Tencent
Hy3
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Hy3 was released on 2026-07-06.

GLM-5.3 is 1 month newer than Hy3.

GLM-5.3

Aug 14, 2026

2 weeks ago

1mo newer
Hy3

Jul 6, 2026

1 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

Judge for yourself.

Run your own prompts against GLM-5.3 and Hy3 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Hy3
Open in Playground

FAQ

Common questions about GLM-5.3 vs Hy3.

Which is better, GLM-5.3 or Hy3?

GLM-5.3 leads the LLM Stats Score 54.2 to 42.9. GLM-5.3 is made by Zhipu AI and Hy3 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 compare to Hy3 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%.

What are the context window sizes for GLM-5.3 and Hy3?

GLM-5.3 supports 1.0M tokens and Hy3 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 and Hy3?

Key differences include LLM Stats Score (54.2 vs 42.9), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Hy3?

GLM-5.3 is developed by Zhipu AI and Hy3 is developed by Tencent.