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VECTOR WIREAI INTELLIGENCE
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GLM-5.2 vs Qwen3.6 27B

Z.ai · released

Wins 7 of 7 areas

Coding · Agents · Reasoning · Facts · Math · Long documents · Following instructions

Alibaba · released

Wins 0 of 7 areas

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GLM-5.2 is the stronger all-rounder.Qwen3.6 27B is cheaper.

Scores updated · 35 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
Qwen3.6 27B$0.60 to read · $3.60 to write$4.20Price from Alibaba's own price page

Qwen3.6 27B costs 28% 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 Qwen3.6 27B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 35 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

FactsGLM-5.2

Full facts ranking

MathGLM-5.2

Full math ranking

Long documentsGLM-5.2

Full long documents ranking

Following instructionsGLM-5.2

Full following instructions ranking

Other results12 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 Qwen3.6 27B?

GLM-5.2 wins all seven areas where both have results: coding, agents, reasoning, facts, math, long documents and following instructions. Qwen3.6 27B wins none, but costs 28% less.

Which is better for coding?

GLM-5.2. It wins 6 of the 6 coding tests both models report; Qwen3.6 27B wins none.

Which is cheaper?

GLM-5.2 costs $1.40 per million input tokens and $4.40 per million output tokens; Qwen3.6 27B costs $0.60 and $3.60. That makes Qwen3.6 27B about 28% cheaper for the same work.

How do you compare the two?

We use the 35 benchmark tests both models have published scores on. The verdict counts the 23 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 12 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.