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-4.5
1,464.74 rating
Confidence interval: 1,450.36 – 1,479.13
1785 votes
Category
chinese
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
GLM-4.5
1,433.89 rating
Confidence interval: 1,425.14 – 1,442.64
4741 votes
Category
coding
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
GLM-4.5
1,395.00 rating
Confidence interval: 1,384.24 – 1,405.77
3096 votes
Category
creative_writing
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
GLM-4.5
1,436.54 rating
Confidence interval: 1,429.99 – 1,443.08
10120 votes
Category
english
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
GLM-4.5
1,422.47 rating
Confidence interval: 1,415.70 – 1,429.24
16956 votes
Category
exclude_ties
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
GLM-4.5
1,433.15 rating
Confidence interval: 1,415.82 – 1,450.49
1157 votes
Category
expert
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating
GLM-4.5
1,418.26 rating
Confidence interval: 1,386.43 – 1,450.08
341 votes
Category
french
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating
GLM-4.5
1,406.77 rating
Confidence interval: 1,381.39 – 1,432.15
539 votes
Category
german
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
GLM-4.5
1,429.19 rating
Confidence interval: 1,422.83 – 1,435.55
11112 votes
Category
hard_prompts
Evaluated configuration
GLM-4.5
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
GLM-4.5
1,429.39 rating
Confidence interval: 1,420.67 – 1,438.11
4831 votes
Category
hard_prompts_english
Evaluated configuration
GLM-4.5
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-4.5
1,404.37 rating
Confidence interval: 1,395.29 – 1,413.45
4315 votes
Category
industry_entertainment_and_sports_and_media
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating
GLM-4.5
1,437.59 rating
Confidence interval: 1,421.90 – 1,453.28
1475 votes
Category
industry_legal_and_government
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating
GLM-4.5
1,444.11 rating
Confidence interval: 1,434.43 – 1,453.79
3858 votes
Category
industry_life_and_physical_and_social_science
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating
GLM-4.5
1,430.02 rating
Confidence interval: 1,413.18 – 1,446.87
1260 votes
Category
industry_mathematical
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating
GLM-4.5
1,454.69 rating
Confidence interval: 1,438.37 – 1,471.01
1385 votes
Category
industry_medicine_and_healthcare
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating
GLM-4.5
1,440.42 rating
Confidence interval: 1,433.33 – 1,447.52
8092 votes
Category
industry_software_and_it_services
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating
GLM-4.5
1,402.46 rating
Confidence interval: 1,394.09 – 1,410.83
5301 votes
Category
industry_writing_and_literature_and_language
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating
GLM-4.5
1,404.01 rating
Confidence interval: 1,396.15 – 1,411.88
6162 votes
Category
instruction_following
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating
GLM-4.5
1,415.44 rating
Confidence interval: 1,392.75 – 1,438.13
775 votes
Category
japanese
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating
GLM-4.5
1,380.40 rating
Confidence interval: 1,356.52 – 1,404.27
656 votes
Category
korean
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating
GLM-4.5
1,412.45 rating
Confidence interval: 1,403.92 – 1,420.98
5085 votes
Category
longer_query
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating
GLM-4.5
1,427.24 rating
Confidence interval: 1,411.61 – 1,442.87
1402 votes
Category
math
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating
GLM-4.5
1,414.96 rating
Confidence interval: 1,405.08 – 1,424.84
3706 votes
Category
multi_turn
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating
GLM-4.5
1,416.99 rating
Confidence interval: 1,411.08 – 1,422.90
13664 votes
Category
non_english
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating
GLM-4.5
1,429.94 rating
Confidence interval: 1,425.05 – 1,434.83
23796 votes
Category
overall
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating
GLM-4.5
1,422.48 rating
Confidence interval: 1,407.64 – 1,437.32
1676 votes
Category
polish
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating
GLM-4.5
1,412.82 rating
Confidence interval: 1,398.58 – 1,427.05
1570 votes
Category
russian
Evaluated configuration
glm-4.5
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating
GLM-4.5
1,454.19 rating
Confidence interval: 1,430.87 – 1,477.51
678 votes
Category
spanish
Evaluated configuration
glm-4.5
Evaluation type
human preference
Run it locally
Inference · memory estimate
GLM-4.5
667.5 GiB checkpoint tensor payload · 358.34 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
131,072 tokens
Maximum input
128,000 tokens*
Maximum output
32,000 tokens*
Tool calling
Yes*
Open weights
Yes
API mode
Chat*
Tool choice
Yes*
Model license
mit
Checkpoint tensor payload
667.46 GiB
Input modalities
text
Output modalities
text
Processing & platform
Architecture
glm4_moe
System configuration
Detailed specifications
Specifications · 8 fields
input cost per token
6.0e-7*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5*
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-4.5*
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-4.5*
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-4.5*
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-4.5*
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
2.2e-6*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-4.5*
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-4.5*
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-4.5*
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.*