Model Comparison

GLM-4.5 vs Qwen3-Next-80B-A3B-Base

Comparing GLM-4.5 and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5 and Qwen3-Next-80B-A3B-Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers

Thu Apr 30 2026 • llm-stats.com

GLM-4.5

Input tokens$0.40

Output tokens$1.60

Best providerDeepinfra

Qwen3-Next-80B-A3B-Base

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

275.0B diff

GLM-4.5 has 275.0B more parameters than Qwen3-Next-80B-A3B-Base, making it 343.8% larger.

GLM-4.5

355.0Bparameters

Qwen3-Next-80B-A3B-Base

80.0Bparameters

355.0B

GLM-4.5

80.0B

Qwen3-Next-80B-A3B-Base

Context Window

Maximum input and output token capacity

Only GLM-4.5 specifies input context (131,072 tokens). Only GLM-4.5 specifies output context (131,072 tokens).

GLM-4.5

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Base

Input- tokens

Output- tokens

Thu Apr 30 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 is licensed under MIT, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.

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

GLM-4.5

MIT

Open weights

Qwen3-Next-80B-A3B-Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.

Qwen3-Next-80B-A3B-Base is 1 month newer than GLM-4.5.

GLM-4.5

Jul 28, 2025

9 months ago

Qwen3-Next-80B-A3B-Base

Sep 10, 2025

7 months ago

1mo 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→

Key Takeaways

GLM-4.5

View details

Zhipu AI

Larger context window (131,072 tokens)

Detailed Comparison

AI Model Comparison Table
Feature	GLM-4.5	Qwen3-Next-80B-A3B-Base

FAQ

Common questions about GLM-4.5 vs Qwen3-Next-80B-A3B-Base

GLM-4.5 (Zhipu AI) and Qwen3-Next-80B-A3B-Base (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.

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

GLM-4.5 supports 131K tokens and Qwen3-Next-80B-A3B-Base supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

GLM-4.5 is developed by Zhipu AI and Qwen3-Next-80B-A3B-Base is developed by Alibaba Cloud / Qwen Team.

GLM-4.5 vs Qwen3-Next-80B-A3B-Base

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

GLM-4.5

Qwen3-Next-80B-A3B-Base

Detailed Comparison

FAQ

Which is better, GLM-4.5 or Qwen3-Next-80B-A3B-Base?

How does GLM-4.5 compare to Qwen3-Next-80B-A3B-Base in benchmarks?

What are the context window sizes for GLM-4.5 and Qwen3-Next-80B-A3B-Base?

What are the main differences between GLM-4.5 and Qwen3-Next-80B-A3B-Base?

Who makes GLM-4.5 and Qwen3-Next-80B-A3B-Base?