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DeepSeek

DeepSeek V4 Flash

VS
Z.ai (Zhipu AI)

GLM-5.2

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-5.2 is the premium intelligence choice, scoring 13.0% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: DeepSeek V4 Flash is 12.3x cheaper to run and delivers 1.0x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, DeepSeek V4 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.2 fully justifies the cost.

Model Specs

DeepSeek V4 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
49.1%
Reasoning (gpqa-diamond)
80%

Cost & Performance

Cost (per 1M tokens)12.3x cheaper
$0.17Input: $0.14 | Output: $0.28
Speed
109.1 tps
Context Window
1M tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+13.0%)
62.1%
Reasoning (gpqa-diamond)Winner (+11.2%)
91.2%

Cost & Performance

Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40
Speed
N/A
Context WindowLarger
1.05M tokens
Read our data collection methodology

Frequently Asked Questions

DeepSeek V4 Flash is cheaper than GLM-5.2. DeepSeek V4 Flash has a blended cost of $0.17/1M tokens, which is about 12.3x cheaper than GLM-5.2 at $2.15/1M tokens.

Speed data is not available for GLM-5.2, while DeepSeek V4 Flash generates 109.1 tokens per second.

GLM-5.2 is better for coding tasks. It scores 62.1% on coding evaluations (swe-bench-pro) compared to DeepSeek V4 Flash which scores 49.1%.

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