Model Comparison

DeepSeek-V3.2-Exp vs GLM-4.5

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 2.3x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

DeepSeek-V3.2-Exp outperforms in 7 benchmarks (BrowseComp, GPQA, Humanity's Last Exam, LiveCodeBench, MMLU-Pro, SWE-Bench Verified, Terminal-Bench), while GLM-4.5 is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Exp costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.5x cheaper than GLM-4.5 ($0.40/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 3.9x cheaper than GLM-4.5 ($1.60/1M tokens).

In conclusion, GLM-4.5 is more expensive than DeepSeek-V3.2-Exp.*

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

Lowest available price from all providers
Fri May 15 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
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

330.0B diff

DeepSeek-V3.2-Exp has 330.0B more parameters than GLM-4.5, making it 93.0% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Zhipu AI
GLM-4.5
355.0Bparameters
685.0B
DeepSeek-V3.2-Exp
355.0B
GLM-4.5

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Fri May 15 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-V3.2-Exp

MIT

Open weights

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while GLM-4.5 was released on 2025-07-28.

DeepSeek-V3.2-Exp is 2 months newer than GLM-4.5.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

2mo newer
GLM-4.5

Jul 28, 2025

9 months 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

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

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
Higher BrowseComp score (40.1% vs 26.4%)
Higher GPQA score (79.9% vs 79.1%)
Higher Humanity's Last Exam score (19.8% vs 14.4%)
Higher LiveCodeBench score (74.1% vs 72.9%)
Higher MMLU-Pro score (85.0% vs 84.6%)
Higher SWE-Bench Verified score (67.8% vs 64.2%)
Higher Terminal-Bench score (37.7% vs 37.5%)
Zhipu AI

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Zhipu AI
GLM-4.5

FAQ

Common questions about DeepSeek-V3.2-Exp vs GLM-4.5.

Which is better, DeepSeek-V3.2-Exp or GLM-4.5?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp 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.

How does DeepSeek-V3.2-Exp compare to GLM-4.5 in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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-V3.2-Exp cheaper than GLM-4.5?

DeepSeek-V3.2-Exp is 1.5x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.2-Exp and GLM-4.5?

DeepSeek-V3.2-Exp 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.

What are the main differences between DeepSeek-V3.2-Exp and GLM-4.5?

Key differences include context window (164K vs 131K), input pricing ($0.27 vs $0.40/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and GLM-4.5?

DeepSeek-V3.2-Exp is developed by DeepSeek and GLM-4.5 is developed by Zhipu AI.