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VECTOR WIREAI INTELLIGENCE
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GLM-5.3 vs GLM-5.3-Flash

Z.ai · released

Wins 6 of 7 areas

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

Z.ai · released

Wins 0 of 7 areas

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GLM-5.3 is the stronger all-rounder.GLM-5.3-Flash is cheaper.

Scores updated · 36 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-5.3$1.40 to read · $4.40 to write$5.80Price from Z.ai's own price page
GLM-5.3-Flash$0.15 to read · $0.50 to write$0.65Price from Artificial Analysis

GLM-5.3-Flash costs 89% 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-5.3 pulls ahead

Where GLM-5.3-Flash pulls ahead

Every test, side by side

All 36 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingGLM-5.3

Full coding ranking

AgentsGLM-5.3

Full agents ranking

ReasoningGLM-5.3

Full reasoning ranking

FactsGLM-5.3

Full facts ranking

MathGLM-5.3

Full math ranking

Long documentsEven

Full long documents ranking

Following instructionsGLM-5.3

Full following instructions ranking

Other results15 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-5.3 or GLM-5.3-Flash?

GLM-5.3 wins six of the seven areas where both have results: coding, agents, reasoning, facts, math and following instructions. GLM-5.3-Flash wins none, but costs 89% less. They are level on long documents.

Which is better for coding?

GLM-5.3. It wins 3 of the 5 coding tests both models report; GLM-5.3-Flash wins none, and 2 are ties.

Which is cheaper?

GLM-5.3 costs $1.40 per million input tokens and $4.40 per million output tokens; GLM-5.3-Flash costs $0.15 and $0.50. That makes GLM-5.3-Flash about 89% cheaper for the same work.

How do you compare the two?

We use the 36 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 15 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.