whichllmmodel
Back to Dashboard
Google

Gemini 3 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 27.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 3 Flash is 1.9x 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, Gemini 3 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

Gemini 3 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
34.6%
Reasoning (gpqa-diamond)
90.4%

Cost & Performance

Cost (per 1M tokens)1.9x cheaper
$1.13Input: $0.50 | Output: $3.00
Speed
159 tps
Context Window
1M tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+27.5%)
62.1%
Reasoning (gpqa-diamond)Winner (+0.8%)
91.2%

Cost & Performance

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

Frequently Asked Questions

Gemini 3 Flash is cheaper than GLM-5.2. Gemini 3 Flash has a blended cost of $1.13/1M tokens, which is about 1.9x cheaper than GLM-5.2 at $2.15/1M tokens.

Speed data is not available for GLM-5.2, while Gemini 3 Flash generates 159 tokens per second.

GLM-5.2 is better for coding tasks. It scores 62.1% on coding evaluations (swe-bench-pro) compared to Gemini 3 Flash which scores 34.6%.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard