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GLM-5.3 vs Qwen3.8-Flash-Next

GLM-5.3 has a slight edge in benchmark performance.

Zhipu AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GLM-5.3 outperforms in 3 benchmarks (DeepSWE 1.1, Humanity's Last Exam, NL2Repo), while Qwen3.8-Flash-Next is better at 2 benchmarks (Agents' Last Exam, Toolathlon). GLM-5.3 has a slight edge in benchmark performance.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 3 of 5 shared benchmarks

Choose Qwen3.8-Flash-Next

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Benchmark wins
3 of 5
2 of 5
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Aug 2026
License
Unknown
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GLM-5.3 outperforms in 3 benchmarks (DeepSWE 1.1, Humanity's Last Exam, NL2Repo), while Qwen3.8-Flash-Next is better at 2 benchmarks (Agents' Last Exam, Toolathlon).

GLM-5.3 has a slight edge in benchmark performance.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

573.0B diff

GLM-5.3 has 573.0B more parameters than Qwen3.8-Flash-Next, making it 318.3% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
180.0Bparameters
753.0B
GLM-5.3
180.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (131,072 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas GLM-5.3 does not.

Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 0 month newer than GLM-5.3.

GLM-5.3

Aug 14, 2026

1 weeks ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days 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-5.3 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GLM-5.3 vs Qwen3.8-Flash-Next.

Which is better, GLM-5.3 or Qwen3.8-Flash-Next?

GLM-5.3 has a slight edge in benchmark performance. GLM-5.3 is made by Zhipu AI and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5.3 compare to Qwen3.8-Flash-Next 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%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for GLM-5.3 and Qwen3.8-Flash-Next?

GLM-5.3 supports 1.0M tokens and Qwen3.8-Flash-Next 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 Qwen3.8-Flash-Next?

Key differences include multimodal support (no vs yes), licensing (Unknown vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Qwen3.8-Flash-Next?

GLM-5.3 is developed by Zhipu AI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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