Model Comparison

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

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

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

DeepSeek-R1 (by DeepSeek) and GLM-4.5 (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.

On price, GLM-4.5 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose DeepSeek-R1 if…

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

Choose GLM-4.5 if…

  • cost matters — it's about 1.4x cheaper per token
  • you want the most recent training data — it shipped Jul 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and GLM-4.5don'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

GLM-4.5 costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 1.4x more expensive than GLM-4.5 ($0.40/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.4x more expensive than GLM-4.5 ($1.60/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than GLM-4.5.*

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

Lowest available price from all providers
Wed Jul 22 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

316.0B diff

DeepSeek-R1 has 316.0B more parameters than GLM-4.5, making it 89.0% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
671.0B
DeepSeek-R1
355.0B
GLM-4.5

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-4.5
Input131,072 tokens
Output131,072 tokens
Wed Jul 22 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

MIT

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 6 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.5 years ago

GLM-4.5

Jul 28, 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-4.5 is available from DeepInfra, 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-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
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.

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about DeepSeek-R1 vs GLM-4.5.

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

DeepSeek-R1 (DeepSeek) and GLM-4.5 (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 compare to GLM-4.5 in benchmarks?

GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

Is DeepSeek-R1 cheaper than GLM-4.5?

GLM-4.5 is 1.4x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.

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

DeepSeek-R1 supports 131K tokens and GLM-4.5 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-4.5?

Key differences include input pricing ($0.55 vs $0.40/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and GLM-4.5?

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