Model Comparison

GLM-4.6 vs Qwen3 235B A22B

GLM-4.6 significantly outperforms across most benchmarks. Qwen3 235B A22B is 9.1x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-4.6 outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 235B A22B is better at 0 benchmarks.

GLM-4.6 significantly outperforms across most benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, GLM-4.6 ($0.55/1M tokens) is 5.5x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, GLM-4.6 ($2.00/1M tokens) is 20.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, GLM-4.6 is more expensive than Qwen3 235B A22B.*

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Zhipu AI
GLM-4.6
Input tokens$0.55
Output tokens$2.00
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

122.0B diff

GLM-4.6 has 122.0B more parameters than Qwen3 235B A22B, making it 51.9% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
357.0B
GLM-4.6
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

GLM-4.6 accepts 131,072 input tokens compared to Qwen3 235B A22B's 128,000 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Mon Apr 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.6 supports multimodal inputs, whereas Qwen3 235B A22B does not.

GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.6

Text
Images
Audio
Video

Qwen3 235B A22B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 is licensed under MIT, while Qwen3 235B A22B uses Apache 2.0.

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

GLM-4.6

MIT

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while Qwen3 235B A22B was released on 2025-04-29.

GLM-4.6 is 5 months newer than Qwen3 235B A22B.

GLM-4.6

Sep 30, 2025

6 months ago

5mo newer
Qwen3 235B A22B

Apr 29, 2025

11 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-4.6 is available from Fireworks, DeepInfra. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

GLM-4.6

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.60/1MOutput Price:Output: $2.00/1M

Qwen3 235B A22B

fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Supports multimodal inputs
Higher AIME 2025 score (93.9% vs 81.5%)
Higher GPQA score (81.0% vs 47.5%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about GLM-4.6 vs Qwen3 235B A22B

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is made by Zhipu AI and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
Qwen3 235B A22B is 5.5x cheaper for input tokens. GLM-4.6 costs $0.55/M input and $2.00/M output via fireworks. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.
GLM-4.6 supports 131K tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.55 vs $0.10/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-4.6 is developed by Zhipu AI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.