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VECTOR WIREAI INTELLIGENCE
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GLM-5 vs QED-Nano

Z.ai · released

Wins 1 of 1 area

Math

LM-Provers

Wins 0 of 1 area

—

GLM-5 is the stronger all-rounder.

Scores updated · 4 tests both models report · How we compare

Where each one wins

Tests won in each of the one area where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.

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$1.00 to read · $3.20 to write$4.20Price from Artificial Analysis
QED-NanoNo current price is tracked.

The biggest differences

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

Where GLM-5 pulls ahead

  • Harvard-MIT high-school math contest problemsHMMT Feb. 2026+18.4points aheadGLM-582.8QED-Nano64.4
  • US invitational high-school math exam problemsAIME 2026+12.9points aheadGLM-595.4QED-Nano82.5

Where QED-Nano pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 4 tests both models report. The winning score is in its model's colour; marks a score checked independently.

MathGLM-5

Full math ranking

Other results2 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 or QED-Nano?

GLM-5 wins the one area where both have results: math. QED-Nano wins none.

How do you compare the two?

We use the 4 benchmark tests both models have published scores on. The verdict counts the 2 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 2 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.