Only the same benchmark, version, workload, scenario and unit share a row. Missing results are not zero. System results include the full submitted hardware and software configuration.
Arena text preference / chinesehuman preference · 2026-10-28 · rating
GLM-4.5V
1,336.88 rating
Confidence interval: 1,300.42 – 1,373.35
235 votes
Category
chinese
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
GLM-4.5V
1,347.35 rating
Confidence interval: 1,328.71 – 1,366.00
964 votes
Category
coding
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
GLM-4.5V
1,294.50 rating
Confidence interval: 1,271.74 – 1,317.26
613 votes
Category
creative_writing
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
GLM-4.5V
1,362.16 rating
Confidence interval: 1,349.48 – 1,374.83
2023 votes
Category
english
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
GLM-4.5V
1,282.28 rating
Confidence interval: 1,270.01 – 1,294.55
3363 votes
Category
exclude_ties
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
GLM-4.5V
1,352.61 rating
Confidence interval: 1,311.41 – 1,393.80
190 votes
Category
expert
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
GLM-4.5V
1,334.33 rating
Confidence interval: 1,322.31 – 1,346.34
2346 votes
Category
hard_prompts
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
GLM-4.5V
1,356.89 rating
Confidence interval: 1,338.86 – 1,374.91
1009 votes
Category
hard_prompts_english
Evaluated configuration
GLM-4.5V
Evaluation type
human preference
Arena text preference / industry_business_and_management_and_financial_operationshuman preference · 2026-10-28 · rating
Arena text preference / industry_entertainment_and_sports_and_mediahuman preference · 2026-10-15 · rating
GLM-4.5V
1,303.05 rating
Confidence interval: 1,284.19 – 1,321.91
865 votes
Category
industry_entertainment_and_sports_and_media
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating
GLM-4.5V
1,337.67 rating
Confidence interval: 1,303.90 – 1,371.44
271 votes
Category
industry_legal_and_government
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating
GLM-4.5V
1,330.18 rating
Confidence interval: 1,308.75 – 1,351.61
735 votes
Category
industry_life_and_physical_and_social_science
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating
GLM-4.5V
1,335.57 rating
Confidence interval: 1,298.10 – 1,373.04
226 votes
Category
industry_mathematical
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating
GLM-4.5V
1,349.15 rating
Confidence interval: 1,312.42 – 1,385.89
233 votes
Category
industry_medicine_and_healthcare
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating
GLM-4.5V
1,352.56 rating
Confidence interval: 1,338.53 – 1,366.59
1694 votes
Category
industry_software_and_it_services
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating
GLM-4.5V
1,301.98 rating
Confidence interval: 1,284.42 – 1,319.54
1071 votes
Category
industry_writing_and_literature_and_language
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating
GLM-4.5V
1,310.47 rating
Confidence interval: 1,294.69 – 1,326.26
1294 votes
Category
instruction_following
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating
GLM-4.5V
1,304.65 rating
Confidence interval: 1,286.85 – 1,322.45
1063 votes
Category
longer_query
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating
GLM-4.5V
1,353.65 rating
Confidence interval: 1,319.45 – 1,387.86
269 votes
Category
math
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating
GLM-4.5V
1,333.15 rating
Confidence interval: 1,312.91 – 1,353.40
849 votes
Category
multi_turn
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating
GLM-4.5V
1,303.15 rating
Confidence interval: 1,292.14 – 1,314.15
2794 votes
Category
non_english
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating
GLM-4.5V
1,332.65 rating
Confidence interval: 1,324.23 – 1,341.07
4821 votes
Category
overall
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating
GLM-4.5V
1,302.38 rating
Confidence interval: 1,268.24 – 1,336.51
281 votes
Category
polish
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating
GLM-4.5V
1,297.71 rating
Confidence interval: 1,270.35 – 1,325.07
395 votes
Category
russian
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating
GLM-4.5V
1,335.53 rating
Confidence interval: 1,290.65 – 1,380.42
186 votes
Category
spanish
Evaluated configuration
glm-4.5v
Evaluation type
human preference
Run it locally
Inference · memory estimate
GLM-4.5V
200.6 GiB checkpoint tensor payload · 107.71 B stored tensor elements · BF16/F32
Stored tensors can include buffers and repeated shared weights. A verified unique parameter count is unavailable. Checkpoint size is not the memory required to run the model.
Capabilities
Context window
65,536 tokens
Maximum input
128,000 tokens*
Maximum output
32,000 tokens*
Tool calling
Yes*
Open weights
Yes
API mode
Chat*
Image input
Yes*
Tool choice
Yes*
Model license
mit
Checkpoint tensor payload
200.63 GiB
Input modalities
text
image
Output modalities
text
Processing & platform
Architecture
glm4v_moe
System configuration
Detailed specifications
Specifications · 9 fields
input cost per token
6.0e-7*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
zai*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
128,000*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
32,000*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
1.8e-6*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports tool choice
Yes*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports vision
Yes*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5v*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*