Model Comparison

DeepSeek-R1 vs GLM-4.5VWhich is better in 2026?

Comparing DeepSeek-R1 and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-R1 vs GLM-4.5V — which is better?

DeepSeek-R1 (by DeepSeek) and GLM-4.5V (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 if…

  • you want predictable pricing at $0.55/M input and $2.19/M output

Choose GLM-4.5V if…

  • you want the most recent training data — it shipped Aug 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and GLM-4.5Vdon'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

For input processing, DeepSeek-R1 ($0.55/1M tokens) costs the same as GLM-4.5V ($0.55/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) costs the same as GLM-4.5V ($2.19/1M tokens).

In conclusion, DeepSeek-R1 and GLM-4.5V cost the same.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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

563.0B diff

DeepSeek-R1 has 563.0B more parameters than GLM-4.5V, making it 521.3% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
671.0B
DeepSeek-R1
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas DeepSeek-R1 does not.

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

DeepSeek-R1

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

MIT

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 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.

DeepSeek-R1

Jan 20, 2025

1.5 years ago

GLM-4.5V

Aug 11, 2025

11 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

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. GLM-4.5V is available from Fireworks, Novita.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-R1 and GLM-4.5V side-by-side, then vote on the output you prefer.

DeepSeek-R1
✓ Preferred
GLM-4.5V
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Zhipu AI
GLM-4.5V

FAQ

Common questions about DeepSeek-R1 vs GLM-4.5V.

Which is better, DeepSeek-R1 or GLM-4.5V?

DeepSeek-R1 (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.

Is DeepSeek-R1 cheaper than GLM-4.5V?

Both models cost $0.55 per million input tokens.

What are the context window sizes for DeepSeek-R1 and GLM-4.5V?

DeepSeek-R1 supports 131K tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1 and GLM-4.5V?

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

Who makes DeepSeek-R1 and GLM-4.5V?

DeepSeek-R1 is developed by DeepSeek and GLM-4.5V is developed by Zhipu AI.