Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs GLM-4.5V

Comparing DeepSeek R1 Distill Qwen 1.5B and GLM-4.5V across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and GLM-4.5V 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

Cost data unavailable.

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

106.2B diff

GLM-4.5V has 106.2B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 5967.4% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Wed Apr 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

GLM-4.5V

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.

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 7 months newer than DeepSeek R1 Distill Qwen 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.3 years ago

GLM-4.5V

Aug 11, 2025

8 months ago

6mo 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

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Key Takeaways

DeepSeek
Zhipu AI
Larger context window (131,072 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Zhipu AI
GLM-4.5V

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs GLM-4.5V

DeepSeek R1 Distill Qwen 1.5B (DeepSeek) and GLM-4.5V (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%.
DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and GLM-4.5V is developed by Zhipu AI.