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Google

Gemini 2.5 Flash

VS
Z.ai (Zhipu AI)

GLM-5.1

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-5.1 is the premium intelligence choice, scoring 58.4% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash is 1.8x 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 2.5 Flash offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-5.1 fully justifies the cost.

Model Specs

Gemini 2.5 Flash

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
68.3%

Cost & Performance

Cost (per 1M tokens)1.8x cheaper
$0.85Input: $0.30 | Output: $2.50
Speed
221 tps
Context WindowLarger
1M tokens
Model Specs

GLM-5.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
58.4%
Reasoning (gpqa-diamond)Winner (+17.9%)
86.2%

Cost & Performance

Cost (per 1M tokens)
$1.50Input: $0.98 | Output: $3.08
Speed
N/A
Context Window
204.8k tokens

Frequently Asked Questions

Gemini 2.5 Flash is cheaper than GLM-5.1. Gemini 2.5 Flash has a blended cost of $0.85/1M tokens, which is about 1.8x cheaper than GLM-5.1 at $1.50/1M tokens.

Speed data is not available for GLM-5.1, while Gemini 2.5 Flash generates 221 tokens per second.

GLM-5.1 is better for coding tasks. It scores 58.4% on coding evaluations (swe-bench-pro) compared to Gemini 2.5 Flash which scores N/A.

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