Model Comparison

DeepSeek-V3 0324 vs GLM-4.5

GLM-4.5 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 0324 outperforms in 0 benchmarks, while GLM-4.5 is better at 5 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500, MMLU-Pro).

GLM-4.5 significantly outperforms across most benchmarks.

Wed Apr 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 0324 costs less

For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 1.4x cheaper than GLM-4.5 ($0.40/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 1.4x cheaper than GLM-4.5 ($1.60/1M tokens).

In conclusion, GLM-4.5 is more expensive than DeepSeek-V3 0324.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
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-V3 0324 has 316.0B more parameters than GLM-4.5, making it 89.0% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
671.0B
DeepSeek-V3 0324
355.0B
GLM-4.5

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to GLM-4.5's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while GLM-4.5 is limited to 131,072 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while GLM-4.5 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while GLM-4.5 was released on 2025-07-28.

GLM-4.5 is 4 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.1 years ago

GLM-4.5

Jul 28, 2025

8 months ago

4mo 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-V3 0324 is available from Novita. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Higher AIME 2024 score (91.0% vs 59.4%)
Higher GPQA score (79.1% vs 68.4%)
Higher LiveCodeBench score (72.9% vs 49.2%)
Higher MATH-500 score (98.2% vs 94.0%)
Higher MMLU-Pro score (84.6% vs 81.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Zhipu AI
GLM-4.5

FAQ

Common questions about DeepSeek-V3 0324 vs GLM-4.5

GLM-4.5 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is made by DeepSeek and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.
DeepSeek-V3 0324 is 1.4x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.
DeepSeek-V3 0324 supports 164K tokens and GLM-4.5 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (164K vs 131K), input pricing ($0.28 vs $0.40/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 0324 is developed by DeepSeek and GLM-4.5 is developed by Zhipu AI.