Model Comparison

GLM-4.6 vs DeepSeek R1 Distill Llama 8B

GLM-4.6 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-4.6 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Llama 8B is better at 0 benchmarks.

GLM-4.6 significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

349.0B diff

GLM-4.6 has 349.0B more parameters than DeepSeek R1 Distill Llama 8B, making it 4345.8% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
DeepSeek
DeepSeek R1 Distill Llama 8B
8.0Bparameters
357.0B
GLM-4.6
8.0B
DeepSeek R1 Distill Llama 8B

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 Llama 8B
Input- tokens
Output- tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.6 supports multimodal inputs, whereas DeepSeek R1 Distill Llama 8B 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 Llama 8B

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 Llama 8B

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while DeepSeek R1 Distill Llama 8B was released on 2025-01-20.

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

GLM-4.6

Sep 30, 2025

7 months ago

8mo newer
DeepSeek R1 Distill Llama 8B

Jan 20, 2025

1.3 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

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Key Takeaways

Zhipu AI
Larger context window (131,072 tokens)
Supports multimodal inputs
Higher GPQA score (81.0% vs 49.0%)
DeepSeek

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 Llama 8B

FAQ

Common questions about GLM-4.6 vs DeepSeek R1 Distill Llama 8B.

Which is better, GLM-4.6 or DeepSeek R1 Distill Llama 8B?

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is made by Zhipu AI and DeepSeek R1 Distill Llama 8B 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 Llama 8B 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 Llama 8B scores MATH-500: 89.1%, AIME 2024: 80.0%, GPQA: 49.0%, LiveCodeBench: 39.6%.

What are the context window sizes for GLM-4.6 and DeepSeek R1 Distill Llama 8B?

GLM-4.6 supports 131K tokens and DeepSeek R1 Distill Llama 8B 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 Llama 8B?

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 Llama 8B?

GLM-4.6 is developed by Zhipu AI and DeepSeek R1 Distill Llama 8B is developed by DeepSeek.