GLM 5V Turbo vs Qwen3.6 Plus
Wins 1 of 7 areas
Agents
Wins 5 of 7 areas
Coding · Reasoning · Images and charts · Long documents · Following instructions
Qwen3.6 Plus is the stronger all-rounder.GLM 5V Turbo is better at agents.
Scores updated · 20 tests both models report · How we compare
Where each one wins
Tests won in each of the seven areas 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.
- ReasoningHard problems that need careful thinking03Qwen3.6 Plus3 of 3 tests
- CodingWriting and fixing software12Qwen3.6 Plus2 of 3 tests
- Images and chartsUnderstanding pictures, charts and video01Qwen3.6 Plus1 of 1 test
- Long documentsFinding answers in very long texts01Qwen3.6 Plus1 of 1 test
- Following instructionsDoing exactly what it is asked01Qwen3.6 Plus1 of 1 test
- AgentsCarrying out multi-step tasks on its own10GLM 5V Turbo1 of 2 tests · 1 tie
- FactsGetting facts right instead of making them up11Even1 each
Images and charts, long documents and following instructions rest on a single test each.
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.
Qwen3.6 Plus costs 33% less for the same work.
The biggest differences
The three tests each model wins by the widest margin. Scores are out of 100.
Where Qwen3.6 Plus pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+34.2points ahead
- Follows unfamiliar, precisely checkable instructionsIFBench+14.1points ahead
- Hard command-line tasks in a real terminalTerminal-Bench Hard+11.3points ahead
Where GLM 5V Turbo pulls ahead
- Real work tasks from 44 professionsGDPVal+16.7points ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+2.9points ahead
- Code for real scientific research problemsSciCode+2.8points ahead
Every test, side by side
All 20 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingQwen3.6 Plus
- Terminal-Bench HardQwen3.6 Plus by 11.332.643.9+11.3
- LMArena · WebDevQwen3.6 Plus by 60 rating points14011461+60 rating
- SciCodeGLM 5V Turbo by 2.843.540.7+2.8
AgentsGLM 5V Turbo
- GDPValGLM 5V Turbo by 16.741.424.7+16.7
- OSWorld-Verifiedtie62.362.5tie
ReasoningQwen3.6 Plus
- Humanity's Last ExamQwen3.6 Plus by 10.717.127.8+10.7
- GPQA DiamondQwen3.6 Plus by 7.380.988.2+7.3
- CritPtQwen3.6 Plus by 2.30.62.9+2.3
FactsEven
- AA-Omniscience · Non-hallucinationQwen3.6 Plus by 34.231.265.4+34.2
- AA-Omniscience · AccuracyGLM 5V Turbo by 2.929.326.4+2.9
Following instructionsQwen3.6 Plus
- IFBenchQwen3.6 Plus by 14.161.175.2+14.1
Other results7 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.
- AA Agentic IndexGLM 5V Turbo by 32.161.129+32.1
- AA-OmniscienceQwen3.6 Plus by 20.2-19.30.9+20.2
- Artificial Analysis Coding IndexQwen3.6 Plus by 18.336.254.5+18.3
- Claw Eval (pass@3)GLM 5V Turbo by 16.37558.7+16.3
- SimpleVQAGLM 5V Turbo by 10.978.267.3+10.9
- AA IntelligenceQwen3.6 Plus by 3.523.527+3.5
- τ²-Bench Telecom (AA run)tie98.597.7tie
Questions people ask
Which is better, GLM 5V Turbo or Qwen3.6 Plus?
Qwen3.6 Plus wins five of the seven areas where both have results: coding, reasoning, images and charts, long documents and following instructions. GLM 5V Turbo wins agents. They are level on facts.
Which is better for coding?
Qwen3.6 Plus. It wins 2 of the 3 coding tests both models report; GLM 5V Turbo wins 1.
Which is cheaper?
GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3.6 Plus costs $0.50 and $3.00. That makes Qwen3.6 Plus about 33% cheaper for the same work.
How do you compare the two?
We use the 20 benchmark tests both models have published scores on. The verdict counts the 13 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 7 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.