BenchLeader
Zhipu AIOpen weights: zai-org/GLM-4.5VReasoning modelAuto-detected

GLM-4.5V

Best configuration ranks #449 of 610 on the BenchLeader Index at 42.9 ±6.3. Last measured 2 Sept 2026. Released 11 Aug 2025.

Blended price
$0.900/M
$0.600 in · $1.80 out
Output speed
37 tok/s
First answer
2.71 s
first token 2.56 s
Context
64k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index43
  2. Reasoning54
  3. Coding54
  4. Agents & tools40
  5. Knowledge38
  6. Instruction following33
  7. Human preference53
  8. Multimodal37
  9. Long context25
  10. Composite37

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
thinking40.6#50337 tok/s57 s$0.0008Agents & tools 38 · Composite 39 · Instruction following 37 · Knowledge 42 · Long context 25 · Multimodal 34
defaultbest42.9#44937 tok/s2.71 s$0.0008Agents & tools 40 · Coding 54 · Composite 37 · Human preference 53 · Instruction following 33 · Knowledge 38 · Long context 25 · Multimodal 37 · Reasoning 54

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

BenchmarkthinkingdefaultSource
LMArena Hard Prompts1374#171LMArena
GPQA Diamond (AA)not in index68.4%#29957.3%#373Artificial Analysis
Humanity's Last Exam (AA)not in index6.3%#3243.5%#508Artificial Analysis
Kagi LLM Benchmark59.8%#51Kagi LLM Benchmark

Coding

BenchmarkthinkingdefaultSource
LMArena Coding1404#169LMArena

Agents & tools

BenchmarkthinkingdefaultSource
Terminal-Bench Hard5.3%#2636.8%#240Artificial Analysis
τ²-Bench Telecom (AA)not in index22.5%#29719.6%#323Artificial Analysis

Knowledge

BenchmarkthinkingdefaultSource
AA-Omniscience-46.3#290-55.6#363Artificial Analysis

Instruction following

BenchmarkthinkingdefaultSource
IFBench34.2%#30628.6%#352Artificial Analysis

Human preference

BenchmarkthinkingdefaultSource
LMArena Text1353#177LMArena

Multimodal

BenchmarkthinkingdefaultSource
LMArena Vision1155#96LMArena
MMMU-Pro50.5%#20542.8%#225Artificial Analysis

Long context

BenchmarkthinkingdefaultSource
AA-LCR0.0%#4190.0%#419Artificial Analysis

Composite

BenchmarkthinkingdefaultSource
AA Intelligence Index7.6#3876.7#428Artificial Analysis

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
NovitaAI38 tok/s2.00 s$0.600$1.8066kfp8
Z.ai37 tok/s3.11 s$0.600$1.8066kfp8

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.110 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0008$0.000610.7 s
Summarise a 30-page report12,000 / 600$0.0083$0.003918.8 s
Code edit6,000 / 1,500$0.0063$0.004142.8 s
Agentic coding session60,000 / 4,000$0.043$0.0211.8 min
Structured extraction2,000 / 200$0.0016$0.00088.1 s

See also

Data as of 9 Sept 2026. Compare these configurations.