Model Comparison

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

GLM-4.5 significantly outperforms across most benchmarks. Qwen3-Next-80B-A3B-Thinking is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GLM-4.5 outperforms in 5 benchmarks (BFCL-v3, GPQA, MMLU-Pro, TAU-bench Airline, TAU-bench Retail), while Qwen3-Next-80B-A3B-Thinking is better at 0 benchmarks.

GLM-4.5 significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Next-80B-A3B-Thinking costs less

For input processing, GLM-4.5 ($0.40/1M tokens) is 2.7x more expensive than Qwen3-Next-80B-A3B-Thinking ($0.15/1M tokens).

For output processing, GLM-4.5 ($1.60/1M tokens) is 1.1x more expensive than Qwen3-Next-80B-A3B-Thinking ($1.50/1M tokens).

In conclusion, GLM-4.5 is more expensive than Qwen3-Next-80B-A3B-Thinking.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers

Fri Apr 17 2026 • llm-stats.com

GLM-4.5

Input tokens$0.40

Output tokens$1.60

Best providerDeepinfra

Qwen3-Next-80B-A3B-Thinking

Input tokens$0.15

Output tokens$1.50

Best providerNovita

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-Thinking, making it 343.8% larger.

GLM-4.5

355.0Bparameters

Qwen3-Next-80B-A3B-Thinking

80.0Bparameters

355.0B

GLM-4.5

80.0B

Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

GLM-4.5 accepts 131,072 input tokens compared to Qwen3-Next-80B-A3B-Thinking's 65,536 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Qwen3-Next-80B-A3B-Thinking is limited to 65,536 tokens.

GLM-4.5

Input131,072 tokens

Output131,072 tokens

Qwen3-Next-80B-A3B-Thinking

Input65,536 tokens

Output65,536 tokens

Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 is licensed under MIT, while Qwen3-Next-80B-A3B-Thinking 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-Thinking

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-Thinking was released on 2025-09-10.

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

GLM-4.5

Jul 28, 2025

8 months ago

Qwen3-Next-80B-A3B-Thinking

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

Provider Availability

GLM-4.5 is available from DeepInfra, Fireworks, Novita. Qwen3-Next-80B-A3B-Thinking is available from Novita.

GLM-4.5

Deepinfra

Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M

Fireworks

Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M

Novita

Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

Qwen3-Next-80B-A3B-Thinking

Novita

Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M

* Prices shown are per million tokens

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)

Higher BFCL-v3 score (77.8% vs 72.0%)

Higher GPQA score (79.1% vs 77.2%)

Higher MMLU-Pro score (84.6% vs 82.7%)

Higher TAU-bench Airline score (60.4% vs 49.0%)

Higher TAU-bench Retail score (79.7% vs 69.6%)

Qwen3-Next-80B-A3B-Thinking

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

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

FAQ

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

GLM-4.5 significantly outperforms across most benchmarks. GLM-4.5 is made by Zhipu AI and Qwen3-Next-80B-A3B-Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%. Qwen3-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

Qwen3-Next-80B-A3B-Thinking is 2.7x cheaper for input tokens. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra. Qwen3-Next-80B-A3B-Thinking costs $0.15/M input and $1.50/M output via novita.

GLM-4.5 supports 131K tokens and Qwen3-Next-80B-A3B-Thinking supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include context window (131K vs 66K), input pricing ($0.40 vs $0.15/M), 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-Thinking is developed by Alibaba Cloud / Qwen Team.

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

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

GLM-4.5

Qwen3-Next-80B-A3B-Thinking

Outputs Comparison

Key Takeaways

GLM-4.5

Qwen3-Next-80B-A3B-Thinking

Detailed Comparison

FAQ

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

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

Is GLM-4.5 cheaper than Qwen3-Next-80B-A3B-Thinking?

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

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

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