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VECTOR WIREAI INTELLIGENCE
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GLM-5.2 vs Kimi K2.5

Z.ai · released

Wins 5 of 7 areas

Coding · Agents · Reasoning · Math · Following instructions

Moonshot · released

Wins 0 of 7 areas

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GLM-5.2 is the stronger all-rounder.Kimi K2.5 is cheaper.

Scores updated · 40 tests both models report · How we compare

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

GLM-5.2$1.40 to read · $4.40 to write$5.80Price from Z.ai's own price page
Kimi K2.5$0.60 to read · $3.00 to write$3.60Price from Artificial Analysis

Kimi K2.5 costs 38% less for the same work.

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where GLM-5.2 pulls ahead

Where Kimi K2.5 pulls ahead

Every test, side by side

All 40 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingGLM-5.2

Full coding ranking

AgentsGLM-5.2

Full agents ranking

ReasoningGLM-5.2

Full reasoning ranking

FactsEven

Full facts ranking

MathGLM-5.2

Full math ranking

Long documentsEven

Full long documents ranking

Following instructionsGLM-5.2

Full following instructions ranking

Other results19 tests, not counted

Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.

Questions people ask

Which is better, GLM-5.2 or Kimi K2.5?

GLM-5.2 wins five of the seven areas where both have results: coding, agents, reasoning, math and following instructions. Kimi K2.5 wins none, but costs 38% less. They are level on facts and long documents.

Which is better for coding?

GLM-5.2. It wins 5 of the 5 coding tests both models report; Kimi K2.5 wins none.

Which is cheaper?

GLM-5.2 costs $1.40 per million input tokens and $4.40 per million output tokens; Kimi K2.5 costs $0.60 and $3.00. That makes Kimi K2.5 about 38% cheaper for the same work.

How do you compare the two?

We use the 40 benchmark tests both models have published scores on. The verdict counts the 21 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 19 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.