Model Comparison

GLM-4.6 vs DeepSeek R1 Distill Qwen 14BWhich is better in 2026?

GLM-4.6 significantly outperforms across most benchmarks.

Verdict: GLM-4.6 vs DeepSeek R1 Distill Qwen 14B — which is better?

GLM-4.6 (by Zhipu AI) and DeepSeek R1 Distill Qwen 14B (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-4.6 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Qwen 14B is better at 0 benchmarks. GLM-4.6 significantly outperforms across most benchmarks.

Choose GLM-4.6 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Choose DeepSeek R1 Distill Qwen 14B if…

  • you are already invested in the DeepSeek ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.6 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Qwen 14B is better at 0 benchmarks.

GLM-4.6 significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

342.2B diff

GLM-4.6 has 342.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 2312.2% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
357.0B
GLM-4.6
14.8B
DeepSeek R1 Distill Qwen 14B

Context Window

Maximum input and output token capacity

Only GLM-4.6 specifies input context (131,072 tokens). Only GLM-4.6 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.6 supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B 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

DeepSeek R1 Distill Qwen 14B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-4.6

MIT

Open weights

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while DeepSeek R1 Distill Qwen 14B was released on 2025-01-20.

GLM-4.6 is 8 months newer than DeepSeek R1 Distill Qwen 14B.

GLM-4.6

Sep 30, 2025

8 months ago

8mo newer
DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.4 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

Key Takeaways

Larger context window (131,072 tokens)
Supports multimodal inputs
Higher GPQA score (81.0% vs 59.1%)

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
DeepSeek
DeepSeek R1 Distill Qwen 14B

FAQ

Common questions about GLM-4.6 vs DeepSeek R1 Distill Qwen 14B.

Which is better, GLM-4.6 or DeepSeek R1 Distill Qwen 14B?

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is made by Zhipu AI and DeepSeek R1 Distill Qwen 14B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.6 compare to DeepSeek R1 Distill Qwen 14B in benchmarks?

GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%. DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%.

What are the context window sizes for GLM-4.6 and DeepSeek R1 Distill Qwen 14B?

GLM-4.6 supports 131K tokens and DeepSeek R1 Distill Qwen 14B 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-4.6 and DeepSeek R1 Distill Qwen 14B?

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

Who makes GLM-4.6 and DeepSeek R1 Distill Qwen 14B?

GLM-4.6 is developed by Zhipu AI and DeepSeek R1 Distill Qwen 14B is developed by DeepSeek.