DeepSeek-V4-Flash-0731 vs GLM-5.3: Specs & Benchmark Comparison

DeepSeek-V4-Flash-0731 is developed by DeepSeek, while GLM-5.3 comes from Zhipu AI. DeepSeek-V4-Flash-0731 was released in July 2026, and GLM-5.3 followed a month later in August 2026. GLM-5.3 is the larger model at roughly 753 billion parameters, against 304 billion for DeepSeek-V4-Flash-0731.

The two models share 6 published benchmarks. GLM-5.3 leads on 6 of them. The widest gaps are on AutomationBench, where GLM-5.3 scores 48.2% against 25.1%; CyberGym, where GLM-5.3 scores 84.5% against 77.0%. Averaged across everything we track, DeepSeek-V4-Flash-0731 sits at 57.5% and GLM-5.3 at 52.2%.

DeepSeek-V4-Flash-0731 is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 10 times cheaper than GLM-5.3 at $1.40 and $4.40. Both accept a context window of about 1M tokens.

CharacteristicDeepSeek-V4-Flash-0731GLM-5.3
CompanyDeepSeekZhipu AI
Release DateJuly 31, 2026August 14, 2026
Parameters304B753B
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)393K131K
Input Price / 1M$0.14$1.40
Output Price / 1M$0.28$4.40
Average Score57.5%52.2%
Benchmarks
AutomationBench25.1%48.2%
CyberGym77.0%84.5%
Terminal-Bench 2.183.0%88.0%
NL2Repo54.2%58.0%
Agents' Last Exam25.2%28.5%
Toolathlon70.0%73.0%

Visual Benchmark Comparison

DeepSeek-V4-Flash-0731
GLM-5.3
AutomationBench0.3 vs 0.5
0.3
0.5
CyberGym0.8 vs 0.8
0.8
0.8
Terminal-Bench 2.10.8 vs 0.9
0.8
0.9
NL2Repo0.5 vs 0.6
0.5
0.6
Agents' Last Exam0.3 vs 0.3
0.3
0.3
Toolathlon0.7 vs 0.7
0.7
0.7

Verdict

GLM-5.3 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.6, GLM-5.3 — 0.5.

API Cost

DeepSeek-V4-Flash-0731 is 13.8x cheaper: input $0.14/1M vs $1.40/1M tokens.

Context Window

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

Recency

GLM-5.3 is newer: released 8/14/2026 vs 7/31/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-0731 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-Flash-0731 or GLM-5.3?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $1.40.
Which has a larger context window — DeepSeek-V4-Flash-0731 or GLM-5.3?
GLM-5.3 supports a larger context: 1,048,576 tokens vs 1,000,000.

The DeepSeek-V4-Flash-0731 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-Flash-0731 or GLM-5.3 page. See also the complete list of AI model comparisons.