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Moonshot AI (Kimi)

kimi-k2.6

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 3.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: kimi-k2.6 is 1.3x 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, kimi-k2.6 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

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)
58.6%
Reasoning (gpqa-diamond)
90.5%

Cost & Performance

Cost (per 1M tokens)1.3x cheaper
$1.71Input: $0.95 | Output: $4.00
Speed
193 tps
Context Window
262.14k tokens
Model Specs

GLM-5.2

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+3.5%)
62.1%
Reasoning (gpqa-diamond)Winner (+0.7%)
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

kimi-k2.6 is cheaper than GLM-5.2. kimi-k2.6 has a blended cost of $1.71/1M tokens, which is about 1.3x cheaper than GLM-5.2 at $2.15/1M tokens.

Speed data is not available for GLM-5.2, while kimi-k2.6 generates 193 tokens per second.

GLM-5.2 is better for coding tasks. It scores 62.1% on coding evaluations (swe-bench-pro) compared to kimi-k2.6 which scores 58.6%.

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