Model Comparison

GLM-5 vs Qwen3-Next-80B-A3B-Instruct

Comparing GLM-5 and Qwen3-Next-80B-A3B-Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Qwen3-Next-80B-A3B-Instruct 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

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

For input processing, GLM-5 ($1.00/1M tokens) is 6.7x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.15/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.1x more expensive than Qwen3-Next-80B-A3B-Instruct ($1.50/1M tokens).

In conclusion, GLM-5 is more expensive than Qwen3-Next-80B-A3B-Instruct.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input tokens$0.15
Output tokens$1.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

664.0B diff

GLM-5 has 664.0B more parameters than Qwen3-Next-80B-A3B-Instruct, making it 830.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
80.0Bparameters
744.0B
GLM-5
80.0B
Qwen3-Next-80B-A3B-Instruct

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Qwen3-Next-80B-A3B-Instruct's 65,536 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Qwen3-Next-80B-A3B-Instruct is limited to 65,536 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input65,536 tokens
Output65,536 tokens
Fri Apr 17 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.

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

GLM-5

MIT

Open weights

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

GLM-5 is 5 months newer than Qwen3-Next-80B-A3B-Instruct.

GLM-5

Feb 11, 2026

2 months ago

5mo newer
Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

7 months 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

Provider Availability

GLM-5 is available from ZAI. Qwen3-Next-80B-A3B-Instruct is available from Novita.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Qwen3-Next-80B-A3B-Instruct

novita logo
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

Zhipu AI
Larger context window (200,000 tokens)
Alibaba Cloud / Qwen Team
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct

FAQ

Common questions about GLM-5 vs Qwen3-Next-80B-A3B-Instruct

GLM-5 (Zhipu AI) and Qwen3-Next-80B-A3B-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.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.
Qwen3-Next-80B-A3B-Instruct is 6.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Qwen3-Next-80B-A3B-Instruct costs $0.15/M input and $1.50/M output via novita.
GLM-5 supports 200K tokens and Qwen3-Next-80B-A3B-Instruct supports 66K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 66K), input pricing ($1.00 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.