Z.ai (Zhipu), open weights

GLM-4.5V

GLM-4.5V by Z.ai (Zhipu) ranks 158th of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.8. Its strongest category is multimodal, where it ranks 92nd. API pricing starts at $0.60 per million input tokens and $1.80 per million output tokens, with a 64K-token context window.

Last verified

Specifications

Noometry rank
#158 of 354
Index score
39.8
Evidence
Confirmed 15 results
Released
August 11, 2025
Weights
Open weights
Reasoning
Yes
Context window
64K
Max output
16K
Input price
$0.60 / M
Output price
$1.80 / M
Blended price
$0.90 / M
Output speed
34 tokens/s Kagi
Value
#107 of 219
Knowledge cutoff
April 2025
Input
text, image, video
Hugging Face
zai-org/GLM-4.5V

Category scores

Each category score combines every public result we have in that category.

GLM-4.5V category scores
  1. Coding 39.5
  2. Reasoning 27.4
  3. Math 37.4
  4. Knowledge 37.5
  5. Multimodal 34.3
  6. Multilingual 44.6
  7. Instruction Following 69.2
  8. Long Context 39.6
  9. Writing & Preference 52.5
GLM-4.5V category ranks
CategoryScoreRankResults
Coding39.5#1551
Reasoning27.4#1192
Math37.4#1591
Knowledge37.5#1561
Multimodal34.3#921
Multilingual44.6#1771
Instruction Following69.2#1751
Long Context39.6#1711
Writing & Preference52.5#1703

Strengths and weaknesses

Categories where GLM-4.5V places highest and lowest among the models ranked in each, with its score against that category's median.

Strongest categories

GLM-4.5V: strongest categories
CategoryScorevs medianRank
Reasoning27.4+3.8#119 of 350, top 34%
Coding39.5+0.8#155 of 340, top 46%
Math37.4+0.8#159 of 327, top 49%

Weakest categories

GLM-4.5V: weakest categories
CategoryScorevs medianRank
Multimodal34.3−4.3#92 of 128, top 72%
Multilingual44.6−2.8#177 of 297, top 60%
Long Context39.6−1.3#171 of 296, top 58%

Closest competitors

The models ranked just above and below GLM-4.5V. When scores are this close, price and speed are often the better way to choose.

Models ranked closest to GLM-4.5V
ModelRankScoreBlended $/MSpeed
Llama 3.3 Nemotron 49b Super v1#15440.1——Compare
Nemotron 3.5 Lightning#15540.0$0.0875—Compare
Qwen3.7 Flash#15639.9$0.055—Compare
Grok 3#15739.9—42Compare
QwQ-32B#15939.8——Compare
Step 1o Turbo 202506#16039.7——Compare
Nova 2 Lite#16139.7$0.85—Compare
DeepSeek-V3.2-Speciale#16239.7$0.85—Compare

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Benchmark results

Every published result we track, with its source. Bold rows are the ones used for ranking; where several exist we prefer independent runs over self-reported numbers.

Coding

GLM-4.5V Coding benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Coding1347#174 of 294, top 60%LMArena2026-10-08

Reasoning

GLM-4.5V Reasoning benchmark results
BenchmarkScorePositionSettingSourceDate
Kagi LLM Benchmark59.8%#42 of 99, top 43%Kagi LLM Benchmark
LMArena Hard Prompts1334#171 of 297, top 58%LMArena2026-10-08

Math

GLM-4.5V Math benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Math1354#163 of 285, top 58%LMArena2026-10-08

Knowledge

GLM-4.5V Knowledge benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Expert1353#155 of 273, top 57%LMArena2026-10-08

Multimodal

GLM-4.5V Multimodal benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Vision1154#98 of 122, top 81%LMArena2026-10-09

Multilingual

GLM-4.5V Multilingual benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Non-English1303#177 of 297, top 60%LMArena2026-10-08
LMArena Chinese1337#174 of 285, top 62%LMArena2026-10-08
LMArena Russian1298#177 of 283, top 63%LMArena2026-10-08
LMArena Spanish1336#152 of 226, top 68%LMArena2026-10-08

Instruction Following

GLM-4.5V Instruction Following benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Instruction Following1311#167 of 298, top 57%LMArena2026-10-08

Long Context

GLM-4.5V Long Context benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Longer Query1304#185 of 291, top 64%LMArena2026-10-08

Writing & Preference

GLM-4.5V Writing & Preference benchmark results
BenchmarkScorePositionSettingSourceDate
LMArena Text1333#171 of 297, top 58%LMArena2026-10-08
LMArena Creative Writing1295#169 of 295, top 58%LMArena2026-10-08
LMArena Multi-Turn1332#171 of 295, top 58%LMArena2026-10-08

API pricing by provider

GLM-4.5V API prices
RouteInput $/MOutput $/MCached input $/MChecked
openrouter$0.60$1.80$0.112026-10-10
zai$0.60$1.80—2026-10-10

Compare GLM-4.5V

Other Z.ai (Zhipu) models

Frequently asked questions

How good is GLM-4.5V?

GLM-4.5V by Z.ai (Zhipu) ranks 158th of 354 ranked models on the Noometry Index as of October 2026, with a score of 39.8. Its strongest category is multimodal, where it ranks 92nd. API pricing starts at $0.60 per million input tokens and $1.80 per million output tokens, with a 64K-token context window.

How much does GLM-4.5V cost?

GLM-4.5V costs $0.60 per million input tokens and $1.80 per million output tokens on Z.ai (Zhipu)'s own API.

What is GLM-4.5V's context window?

GLM-4.5V accepts up to 64K tokens of input and can write up to 16K tokens in one response.

Is GLM-4.5V open source?

Yes. GLM-4.5V's weights are downloadable from Hugging Face (zai-org/GLM-4.5V); check the license for commercial terms.

How fast is GLM-4.5V?

GLM-4.5V generated about 34 output tokens per second in the Kagi LLM Benchmark's timed runs. Speed varies by provider, load and reasoning effort.

What are GLM-4.5V's strengths and weaknesses?

Relative to other ranked models, GLM-4.5V places best in reasoning, coding, math and lowest in multimodal, multilingual, long context.

What is GLM-4.5V best at?

Its best category is multimodal, where it ranks 92nd on Noometry.