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Moonshot AI (Kimi)

kimi-k2.5

VS
Z.ai (Zhipu AI)

GLM-5

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

Decision Recommendation

👑 Editorial Verdict: kimi-k2.5 strictly dominates GLM-5 across all major dimensions. It is not only more cost-effective (blended cost of $1.20 vs $1.55 per 1M tokens) but also delivers superior coding accuracy (50.7% vs 0% on SWE-bench) and faster generation speeds (193 tps vs 0 tps). Unless you have platform lock-in, kimi-k2.5 is the clear and optimal choice for all development workloads.

Model Specs

kimi-k2.5

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
50.7%
Reasoning (gpqa-diamond)Winner (+1.6%)
87.6%

Cost & Performance

Cost (per 1M tokens)1.3x cheaper
$1.20Input: $0.60 | Output: $3.00
Speed
193 tps
Context WindowLarger
262.14k tokens
Model Specs

GLM-5

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
86%

Cost & Performance

Cost (per 1M tokens)
$1.55Input: $1.00 | Output: $3.20
Speed
N/A
Context Window
204.8k tokens

Frequently Asked Questions

kimi-k2.5 is cheaper than GLM-5. kimi-k2.5 has a blended cost of $1.20/1M tokens, which is about 1.3x cheaper than GLM-5 at $1.55/1M tokens.

Speed data is not available for GLM-5, while kimi-k2.5 generates 193 tokens per second.

kimi-k2.5 is better for coding tasks. It scores 50.7% on coding evaluations (swe-bench-pro) compared to GLM-5 which scores N/A.

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