GLM-5 vs DeepSeek-V3.2-Speciale Comparison

Comparing GLM-5 and DeepSeek-V3.2-Speciale across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 3 benchmarks (SWE-Bench Verified, t2-bench, Terminal-Bench 2.0), while DeepSeek-V3.2-Speciale is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.6x more expensive than DeepSeek-V3.2-Speciale ($0.28/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 7.6x more expensive than DeepSeek-V3.2-Speciale ($0.42/1M tokens).

In conclusion, GLM-5 is more expensive than DeepSeek-V3.2-Speciale.*

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

Lowest available price from all providers
Tue Mar 17 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
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Model Size

Parameter count comparison

59.0B diff

GLM-5 has 59.0B more parameters than DeepSeek-V3.2-Speciale, making it 8.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek-V3.2-Speciale
685.0Bparameters
744.0B
GLM-5
685.0B
DeepSeek-V3.2-Speciale

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to DeepSeek-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Tue Mar 17 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.

GLM-5

MIT

Open weights

DeepSeek-V3.2-Speciale

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek-V3.2-Speciale was released on 2025-12-01.

GLM-5 is 2 months newer than DeepSeek-V3.2-Speciale.

GLM-5

Feb 11, 2026

1 months ago

2mo newer
DeepSeek-V3.2-Speciale

Dec 1, 2025

3 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

GLM-5 is available from ZAI. DeepSeek-V3.2-Speciale is available from DeepSeek. The availability of providers can affect quality of the model and reliability.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (200,000 tokens)
Higher SWE-Bench Verified score (77.8% vs 73.1%)
Higher t2-bench score (89.7% vs 80.3%)
Higher Terminal-Bench 2.0 score (56.2% vs 46.4%)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek-V3.2-Speciale