DeepSeek-V4-Pro-0813 vs GLM-5.3: Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while GLM-5.3 comes from Zhipu AI. Both were released in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 753 billion for GLM-5.3.

The two models share 7 published benchmarks. GLM-5.3 leads on 4 of them, DeepSeek-V4-Pro-0813 on 2. The widest gaps are on AutomationBench, where GLM-5.3 scores 48.2% against 31.8%; NL2Repo, where DeepSeek-V4-Pro-0813 scores 61.5% against 58.0%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and GLM-5.3 at 52.2%.

On price the two are close: DeepSeek-V4-Pro-0813 costs $1.32 per million input tokens and $3.96 per million output tokens, GLM-5.3 $1.40 and $4.40. Both accept a context window of about 1M tokens.

CharacteristicDeepSeek-V4-Pro-0813GLM-5.3
CompanyDeepSeekZhipu AI
Release DateAugust 13, 2026August 14, 2026
Parameters1.6T753B
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)393K131K
Input Price / 1M$1.32$1.40
Output Price / 1M$3.96$4.40
Average Score60.6%52.2%
Benchmarks
AutomationBench31.8%48.2%
NL2Repo61.5%58.0%
Agents' Last Exam25.7%28.5%
Humanity's Last Exam60.0%62.5%
CyberGym83.0%84.5%
Toolathlon74.0%73.0%
Terminal-Bench 2.188.0%88.0%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
GLM-5.3
AutomationBench0.3 vs 0.5
0.3
0.5
NL2Repo0.6 vs 0.6
0.6
0.6
Agents' Last Exam0.3 vs 0.3
0.3
0.3
Humanity's Last Exam0.6 vs 0.6
0.6
0.6
CyberGym0.8 vs 0.8
0.8
0.8
Toolathlon0.7 vs 0.7
0.7
0.7
Terminal-Bench 2.10.9 vs 0.9
0.9
0.9

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, GLM-5.3 — 0.5.

API Cost

DeepSeek-V4-Pro-0813 is 1.1x cheaper: input $1.32/1M vs $1.40/1M tokens.

Context Window

GLM-5.3 supports a larger context: 1M vs 1M tokens.

Recency

Both models were released around the same time: 8/13/2026 and 8/14/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or GLM-5.3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or GLM-5.3?
DeepSeek-V4-Pro-0813 is cheaper for input: $1.32 per 1M tokens vs $1.40.
Which has a larger context window — DeepSeek-V4-Pro-0813 or GLM-5.3?
GLM-5.3 supports a larger context: 1,048,576 tokens vs 1,000,000.

The DeepSeek-V4-Pro-0813 and GLM-5.3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or GLM-5.3 page. See also the complete list of AI model comparisons.