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GLM-4.7-Flash vs Hy4 preview

Hy4 preview leads the LLM Stats Score 51.1 to 23.8.

Zhipu AI · Tencent · Updated for 2026

Which is better?

Hy4 preview leads the overall LLM Stats Score 51.1 to 23.8, ranking #14 overall.

In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; 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-4.7-Flash

  • you want predictable pricing at $0.07/M input and $0.40/M output

Choose Hy4 preview

  • overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

GLM-4.7-Flash
Zhipu AI
Hy4 preview
Tencent
Core performance indexes
LLM Stats Score
23.8
#163
51.1
#14
Reasoning
23.8
#153
50.7
#11
Coding
4.6
#199
39.8
#12
Agents
4.9
#141
36.3
#14
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.07 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.7-Flash
Hy4 preview
Math
21.2#142
39.4#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GLM-4.7-Flash · 32 for Hy4 preview

1 shared

GLM-4.7-Flash outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (GPQA).

Hy4 preview significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

740.0B diff

Hy4 preview has 740.0B more parameters than GLM-4.7-Flash, making it 2466.7% larger.

Zhipu AI
GLM-4.7-Flash
30.0Bparameters
Tencent
Hy4 preview
770.0Bparameters
30.0B
GLM-4.7-Flash
770.0B
Hy4 preview

Context Window

Maximum input and output token capacity

Only GLM-4.7-Flash specifies input context (128,000 tokens). Only GLM-4.7-Flash specifies output context (16,384 tokens).

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 tokens
Tencent
Hy4 preview
Input- tokens
Output- tokens
Fri Sep 04 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.7-Flash is licensed under MIT, while Hy4 preview uses Apache 2.0.

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

GLM-4.7-Flash

MIT

Open weights

Hy4 preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.7-Flash was released on 2026-01-19, while Hy4 preview was released on 2026-08-28.

Hy4 preview is 7 months newer than GLM-4.7-Flash.

GLM-4.7-Flash

Jan 19, 2026

7 months ago

Hy4 preview

Aug 28, 2026

6 days ago

7mo 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-4.7-Flash and Hy4 preview side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
Hy4 preview
Open in Playground

FAQ

Common questions about GLM-4.7-Flash vs Hy4 preview.

Which is better, GLM-4.7-Flash or Hy4 preview?

Hy4 preview leads the LLM Stats Score 51.1 to 23.8. GLM-4.7-Flash is made by Zhipu AI and Hy4 preview 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-4.7-Flash compare to Hy4 preview in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%. Hy4 preview scores GPQA: 92.3%, Terminal-Bench 2.1: 85.4%, WideSearch: 83.9%, MCP Atlas: 83.7%, SWE-bench Multilingual: 82.9%.

What are the context window sizes for GLM-4.7-Flash and Hy4 preview?

GLM-4.7-Flash supports 128K tokens and Hy4 preview 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-4.7-Flash and Hy4 preview?

Key differences include LLM Stats Score (23.8 vs 51.1), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7-Flash and Hy4 preview?

GLM-4.7-Flash is developed by Zhipu AI and Hy4 preview is developed by Tencent.

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