Model Comparison

GLM-5 vs DeepSeek R1 Distill Qwen 14BWhich is better in 2026?

Comparing GLM-5 and DeepSeek R1 Distill Qwen 14B across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs DeepSeek R1 Distill Qwen 14B — which is better?

GLM-5 (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.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026

Choose DeepSeek R1 Distill Qwen 14B if…

  • you are already invested in the DeepSeek ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and DeepSeek R1 Distill Qwen 14B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

729.2B diff

GLM-5 has 729.2B more parameters than DeepSeek R1 Distill Qwen 14B, making it 4927.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek R1 Distill Qwen 14B
14.8Bparameters
744.0B
GLM-5
14.8B
DeepSeek R1 Distill Qwen 14B

Context Window

Maximum input and output token capacity

Only GLM-5 specifies input context (200,000 tokens). Only GLM-5 specifies output context (128,000 tokens).

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

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

GLM-5

MIT

Open weights

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek R1 Distill Qwen 14B was released on 2025-01-20.

GLM-5 is 13 months newer than DeepSeek R1 Distill Qwen 14B.

GLM-5

Feb 11, 2026

3 months ago

1.1yr 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

Zhipu AI
Larger context window (200,000 tokens)
DeepSeek

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek R1 Distill Qwen 14B

FAQ

Common questions about GLM-5 vs DeepSeek R1 Distill Qwen 14B.

Which is better, GLM-5 or DeepSeek R1 Distill Qwen 14B?

GLM-5 (Zhipu AI) and DeepSeek R1 Distill Qwen 14B (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5 compare to DeepSeek R1 Distill Qwen 14B in benchmarks?

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%. 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-5 and DeepSeek R1 Distill Qwen 14B?

GLM-5 supports 200K 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.

Who makes GLM-5 and DeepSeek R1 Distill Qwen 14B?

GLM-5 is developed by Zhipu AI and DeepSeek R1 Distill Qwen 14B is developed by DeepSeek.

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