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GLM-5.3-Flash vs Qwen3-Coder 480B A35B Instruct

Comparing GLM-5.3-Flash and Qwen3-Coder 480B A35B Instruct across benchmarks, pricing, and capabilities.

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

Which is better?

GLM-5.3-Flash and Qwen3-Coder 480B A35B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose GLM-5.3-Flash

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

Choose Qwen3-Coder 480B A35B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Qwen3-Coder 480B A35B Instruct
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Jan 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3-Flash and Qwen3-Coder 480B A35B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

160.0B diff

Qwen3-Coder 480B A35B Instruct has 160.0B more parameters than GLM-5.3-Flash, making it 50.0% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
480.0Bparameters
320.0B
GLM-5.3-Flash
480.0B
Qwen3-Coder 480B A35B Instruct

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder 480B A35B Instruct
Input- tokens
Output- tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-5.3-Flash supports multimodal inputs, whereas Qwen3-Coder 480B A35B Instruct does not.

GLM-5.3-Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3-Flash

Text
Images
Audio
Video

Qwen3-Coder 480B A35B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash is licensed under MIT, while Qwen3-Coder 480B A35B Instruct uses Apache 2.0.

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

GLM-5.3-Flash

MIT

Open weights

Qwen3-Coder 480B A35B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Qwen3-Coder 480B A35B Instruct was released on 2025-01-31.

GLM-5.3-Flash is 19 months newer than Qwen3-Coder 480B A35B Instruct.

GLM-5.3-Flash

Aug 26, 2026

0 days ago

1.6yr newer
Qwen3-Coder 480B A35B Instruct

Jan 31, 2025

1.6 years 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-Flash and Qwen3-Coder 480B A35B Instruct side-by-side, then vote on the output you prefer.

GLM-5.3-Flash
✓ Preferred
Qwen3-Coder 480B A35B Instruct
Open in Playground

FAQ

Common questions about GLM-5.3-Flash vs Qwen3-Coder 480B A35B Instruct.

Which is better, GLM-5.3-Flash or Qwen3-Coder 480B A35B Instruct?

GLM-5.3-Flash (Zhipu AI) and Qwen3-Coder 480B A35B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3-Flash compare to Qwen3-Coder 480B A35B Instruct in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. Qwen3-Coder 480B A35B Instruct scores TAU-bench Retail: 77.5%, SWE-Bench Verified: 69.6%, BFCL-v3: 68.7%, Aider-Polyglot: 61.8%, TAU-bench Airline: 60.0%.

What are the context window sizes for GLM-5.3-Flash and Qwen3-Coder 480B A35B Instruct?

GLM-5.3-Flash supports 1.0M tokens and Qwen3-Coder 480B A35B Instruct 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-Flash and Qwen3-Coder 480B A35B Instruct?

Key differences include multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3-Flash and Qwen3-Coder 480B A35B Instruct?

GLM-5.3-Flash is developed by Zhipu AI and Qwen3-Coder 480B A35B Instruct is developed by Alibaba Cloud / Qwen Team.

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