Model Comparison

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

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

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

DeepSeek R1 Distill Qwen 14B (by DeepSeek) and GLM-5 (by Zhipu AI) 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 DeepSeek R1 Distill Qwen 14B if…

  • you are already invested in the DeepSeek ecosystem

Choose GLM-5 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 14B and GLM-5don'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.

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

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).

DeepSeek
DeepSeek R1 Distill Qwen 14B
Input- tokens
Output- tokens
Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Sat Jul 18 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.

DeepSeek R1 Distill Qwen 14B

MIT

Open weights

GLM-5

MIT

Open weights

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Qwen 14B

Jan 20, 2025

1.5 years ago

GLM-5

Feb 11, 2026

5 months ago

1.1yr 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek

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

Zhipu AI
Larger context window (200,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 14B and GLM-5 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 14B
✓ Preferred
GLM-5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 14B
Zhipu AI
GLM-5

FAQ

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

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

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

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

DeepSeek R1 Distill Qwen 14B scores MATH-500: 93.9%, AIME 2024: 80.0%, GPQA: 59.1%, LiveCodeBench: 53.1%. 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%.

What are the context window sizes for DeepSeek R1 Distill Qwen 14B and GLM-5?

DeepSeek R1 Distill Qwen 14B supports an unknown number of tokens and GLM-5 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

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

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