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VECTOR WIREAI INTELLIGENCE
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GLM-5.1 vs Kimi K3

Z.ai · released

Wins 0 of 6 areas

—

Moonshot · released

Wins 6 of 6 areas

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

Kimi K3 is the stronger all-rounder.GLM-5.1 is cheaper.

Scores updated · 31 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-5.1$1.38 to read · $4.40 to write$5.78Price from Artificial Analysis
Kimi K3$3.00 to read · $15.00 to write$18Price from Artificial Analysis

GLM-5.1 costs 68% 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 Kimi K3 pulls ahead

Where GLM-5.1 pulls ahead

Every test, side by side

All 31 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingKimi K3

Full coding ranking

AgentsKimi K3

Full agents ranking

ReasoningKimi K3

Full reasoning ranking

FactsKimi K3

Full facts ranking

MathKimi K3

Full math ranking

Long documentsKimi K3
  • AA-LCRKimi K3 by 1573.788.7+15

Full long documents ranking

Other results11 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-5.1 or Kimi K3?

Kimi K3 wins all six areas where both have results: coding, agents, reasoning, facts, math and long documents. GLM-5.1 wins none, but costs 68% less.

Which is better for coding?

Kimi K3. It wins 3 of the 3 coding tests both models report; GLM-5.1 wins none.

Which is cheaper?

GLM-5.1 costs $1.38 per million input tokens and $4.40 per million output tokens; Kimi K3 costs $3.00 and $15.00. That makes GLM-5.1 about 68% cheaper for the same work.

How do you compare the two?

We use the 31 benchmark tests both models have published scores on. The verdict counts the 20 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 11 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.