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Model Comparison

GLM-5 vs DeepSeek-V4-Pro-Max

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. GLM-5 is 1.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-5 outperforms in 0 benchmarks, while DeepSeek-V4-Pro-Max is better at 4 benchmarks (BrowseComp, MCP Atlas, SWE-Bench Verified, Terminal-Bench 2.0).

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks.

Fri Apr 24 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

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One API for outbound and inbound calls.

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$0.05 /min all-in7 lines of code

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.7x cheaper than DeepSeek-V4-Pro-Max ($1.74/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.1x cheaper than DeepSeek-V4-Pro-Max ($3.48/1M tokens).

In conclusion, DeepSeek-V4-Pro-Max is more expensive than GLM-5.*

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

Lowest available price from all providers
Fri Apr 24 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
DeepSeek
DeepSeek-V4-Pro-Max
Input tokens$1.74
Output tokens$3.48
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

856.0B diff

DeepSeek-V4-Pro-Max has 856.0B more parameters than GLM-5, making it 115.1% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek-V4-Pro-Max
1600.0Bparameters
744.0B
GLM-5
1600.0B
DeepSeek-V4-Pro-Max

Context Window

Maximum input and output token capacity

DeepSeek-V4-Pro-Max accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. DeepSeek-V4-Pro-Max can generate longer responses up to 393,216 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output393,216 tokens
Fri Apr 24 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-V4-Pro-Max

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek-V4-Pro-Max was released on 2026-04-23.

DeepSeek-V4-Pro-Max is 2 months newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

DeepSeek-V4-Pro-Max

Apr 23, 2026

1 days ago

2mo 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

GLM-5 is available from ZAI. DeepSeek-V4-Pro-Max is available from DeepSeek.

GLM-5

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

DeepSeek-V4-Pro-Max

deepseek logo
DeepSeek
Input Price:Input: $1.74/1MOutput Price:Output: $3.48/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
DeepSeek
Larger context window (1,048,576 tokens)
Higher BrowseComp score (83.4% vs 75.9%)
Higher MCP Atlas score (73.6% vs 67.8%)
Higher SWE-Bench Verified score (80.6% vs 77.8%)
Higher Terminal-Bench 2.0 score (67.9% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek-V4-Pro-Max

FAQ

Common questions about GLM-5 vs DeepSeek-V4-Pro-Max

DeepSeek-V4-Pro-Max significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and DeepSeek-V4-Pro-Max is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%.
GLM-5 is 1.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. DeepSeek-V4-Pro-Max costs $1.74/M input and $3.48/M output via deepseek.
GLM-5 supports 200K tokens and DeepSeek-V4-Pro-Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $1.74/M). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and DeepSeek-V4-Pro-Max is developed by DeepSeek.