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VECTOR WIREAI INTELLIGENCE
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GLM-4.6V-Flash (9B) vs Qwen3 VL Thinking (8B)

Z.ai · released

Wins 0 of 1 area

—

Alibaba · released

Wins 1 of 1 area

Images and charts

Qwen3 VL Thinking (8B) is the stronger all-rounder.GLM-4.6V-Flash (9B) is cheaper.

Scores updated · 16 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-4.6V-Flash (9B)$0.30 to read · $0.90 to write$1.20Price from novita
Qwen3 VL Thinking (8B)$0.18 to read · $2.10 to write$2.28Price from Alibaba's own price page

GLM-4.6V-Flash (9B) costs 47% 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 Qwen3 VL Thinking (8B) pulls ahead

  • Visual perception tasks people solve at a glanceBLINK+3.8points aheadQwen3 VL Thinking (8B)68.7GLM-4.6V-Flash (9B)64.9
  • College exam questions with charts, maps and diagramsMMMU+2.3points aheadQwen3 VL Thinking (8B)73.5GLM-4.6V-Flash (9B)71.2
  • Questions that truly need the image to answerMMStar+1points aheadQwen3 VL Thinking (8B)75.3GLM-4.6V-Flash (9B)74.3

Where GLM-4.6V-Flash (9B) pulls ahead

  • Reads text in imagesOCRBench+4.1points aheadGLM-4.6V-Flash (9B)86Qwen3 VL Thinking (8B)81.9
  • Math problems shown in pictures and chartsMathVista+1.5points aheadGLM-4.6V-Flash (9B)82.8Qwen3 VL Thinking (8B)81.4

Every test, side by side

All 16 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Images and chartsQwen3 VL Thinking (8B)
  • OCRBenchGLM-4.6V-Flash (9B) by 4.18681.9+4.1
  • BLINKQwen3 VL Thinking (8B) by 3.864.968.7+3.8
  • MMMUQwen3 VL Thinking (8B) by 2.371.273.5+2.3
  • MathVistaGLM-4.6V-Flash (9B) by 1.582.881.4+1.5
  • MMStarQwen3 VL Thinking (8B) by 174.375.3+1

Full images and charts 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-4.6V-Flash (9B) or Qwen3 VL Thinking (8B)?

Qwen3 VL Thinking (8B) wins the one area where both have results: images and charts. GLM-4.6V-Flash (9B) wins none, but costs 47% less.

Which is cheaper?

GLM-4.6V-Flash (9B) costs $0.30 per million input tokens and $0.90 per million output tokens; Qwen3 VL Thinking (8B) costs $0.18 and $2.10. That makes GLM-4.6V-Flash (9B) about 47% cheaper for the same work.

How do you compare the two?

We use the 16 benchmark tests both models have published scores on. The verdict counts the 5 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.