Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.
GLM-5.1
Radar task score
/ 100
3/4 core tests · not enough evidence
4 benchmark results for this configuration
Scientific reasoning
GPQA Diamond · 25%
Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.
050100%
GLM-5.189.9*%Approx. 95% interval: 85.7–94.1%
Novel problem solving
Mystery Game Puzzles · 25%
Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.
050100%
GLM-5.1Not available
Advanced mathematics
FrontierMath Tiers 1-3 · 25%
Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.
050100%
GLM-5.136.8*%Approx. 95% interval: 31.2–42.5%
Factual answers
SimpleQA Verified · 25%
Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.
050100%
GLM-5.134.0*%Approx. 95% interval: 31.1–36.9%
Competition mathematics
OTIS Mock AIME 2024-2025 · Separate result
Competition problems with model-extracted answers checked against an exact key. Earlier grading procedures are excluded.
050100%
GLM-5.193.3*%Approx. 95% interval: 86.0–100.0%
Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.
Recorded results
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-5.1
1,514.49 rating
Confidence interval: 1,505.21 – 1,523.78
4675 votes
Category
chinese
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / codinghuman preference · 2026-10-28 · rating
GLM-5.1
1,485.92 rating
Confidence interval: 1,480.55 – 1,491.29
18059 votes
Category
coding
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / creative_writinghuman preference · 2026-10-28 · rating
GLM-5.1
1,452.53 rating
Confidence interval: 1,446.29 – 1,458.78
13020 votes
Category
creative_writing
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / englishhuman preference · 2026-10-28 · rating
GLM-5.1
1,475.48 rating
Confidence interval: 1,470.95 – 1,480.01
28384 votes
Category
english
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / exclude_tieshuman preference · 2026-10-28 · rating
GLM-5.1
1,465.43 rating
Confidence interval: 1,460.88 – 1,469.97
49773 votes
Category
exclude_ties
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / experthuman preference · 2026-10-28 · rating
GLM-5.1
1,478.22 rating
Confidence interval: 1,470.56 – 1,485.87
7111 votes
Category
expert
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / frenchhuman preference · 2026-10-28 · rating
GLM-5.1
1,470.12 rating
Confidence interval: 1,456.51 – 1,483.73
2433 votes
Category
french
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / germanhuman preference · 2026-10-28 · rating
GLM-5.1
1,465.69 rating
Confidence interval: 1,446.92 – 1,484.45
1090 votes
Category
german
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / hard_promptshuman preference · 2026-10-28 · rating
GLM-5.1
1,473.04 rating
Confidence interval: 1,468.97 – 1,477.12
43616 votes
Category
hard_prompts
Evaluated configuration
GLM-5.1
Evaluation type
human preference
Arena text preference / hard_prompts_englishhuman preference · 2026-10-28 · rating
GLM-5.1
1,482.51 rating
Confidence interval: 1,477.22 – 1,487.80
18875 votes
Category
hard_prompts_english
Evaluated configuration
GLM-5.1
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-5.1
1,442.60 rating
Confidence interval: 1,436.73 – 1,448.48
14929 votes
Category
industry_entertainment_and_sports_and_media
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / industry_legal_and_governmenthuman preference · 2026-10-15 · rating
GLM-5.1
1,465.33 rating
Confidence interval: 1,456.45 – 1,474.22
4966 votes
Category
industry_legal_and_government
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / industry_life_and_physical_and_social_sciencehuman preference · 2026-10-15 · rating
GLM-5.1
1,477.71 rating
Confidence interval: 1,471.23 – 1,484.19
10348 votes
Category
industry_life_and_physical_and_social_science
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / industry_mathematicalhuman preference · 2026-10-15 · rating
GLM-5.1
1,469.38 rating
Confidence interval: 1,458.70 – 1,480.06
3412 votes
Category
industry_mathematical
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / industry_medicine_and_healthcarehuman preference · 2026-10-15 · rating
GLM-5.1
1,473.04 rating
Confidence interval: 1,463.61 – 1,482.47
4478 votes
Category
industry_medicine_and_healthcare
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / industry_software_and_it_serviceshuman preference · 2026-10-15 · rating
GLM-5.1
1,483.25 rating
Confidence interval: 1,478.48 – 1,488.02
24729 votes
Category
industry_software_and_it_services
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / industry_writing_and_literature_and_languagehuman preference · 2026-10-15 · rating
GLM-5.1
1,454.16 rating
Confidence interval: 1,448.56 – 1,459.75
16617 votes
Category
industry_writing_and_literature_and_language
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / instruction_followinghuman preference · 2026-10-15 · rating
GLM-5.1
1,452.44 rating
Confidence interval: 1,447.44 – 1,457.44
22045 votes
Category
instruction_following
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / japanesehuman preference · 2026-10-15 · rating
GLM-5.1
1,435.55 rating
Confidence interval: 1,413.33 – 1,457.77
851 votes
Category
japanese
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / koreanhuman preference · 2026-10-15 · rating
GLM-5.1
1,422.33 rating
Confidence interval: 1,403.89 – 1,440.77
1192 votes
Category
korean
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / longer_queryhuman preference · 2026-10-15 · rating
GLM-5.1
1,466.90 rating
Confidence interval: 1,462.10 – 1,471.70
28385 votes
Category
longer_query
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / mathhuman preference · 2026-10-15 · rating
GLM-5.1
1,473.00 rating
Confidence interval: 1,461.97 – 1,484.03
3088 votes
Category
math
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / multi_turnhuman preference · 2026-10-15 · rating
GLM-5.1
1,472.41 rating
Confidence interval: 1,465.73 – 1,479.08
9941 votes
Category
multi_turn
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / non_englishhuman preference · 2026-10-15 · rating
GLM-5.1
1,448.41 rating
Confidence interval: 1,444.16 – 1,452.66
35940 votes
Category
non_english
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / overallhuman preference · 2026-10-15 · rating
GLM-5.1
1,462.40 rating
Confidence interval: 1,458.83 – 1,465.97
62889 votes
Category
overall
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / polishhuman preference · 2026-10-15 · rating
GLM-5.1
1,447.48 rating
Confidence interval: 1,430.26 – 1,464.69
1156 votes
Category
polish
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / russianhuman preference · 2026-10-15 · rating
GLM-5.1
1,453.86 rating
Confidence interval: 1,446.47 – 1,461.24
7504 votes
Category
russian
Evaluated configuration
glm-5.1
Evaluation type
human preference
Arena text preference / spanishhuman preference · 2026-10-15 · rating
GLM-5.1
1,468.54 rating
Confidence interval: 1,454.67 – 1,482.42
2067 votes
Category
spanish
Evaluated configuration
glm-5.1
Evaluation type
human preference
Run it locally
Inference · memory estimate
GLM-5.1
1404.2 GiB checkpoint tensor payload · 753.86 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
202,752 tokens
Maximum input
200,000 tokens*
Maximum output
128,000 tokens*
Reasoning
Yes*
Tool calling
Yes*
Open weights
Yes
API mode
Chat*
Prompt caching
Yes*
Tool choice
Yes*
Model license
mit
Checkpoint tensor payload
1,404.18 GiB
Input modalities
text
Output modalities
text
Processing & platform
Architecture
glm_moe_dsa
System configuration
Detailed specifications
Specifications · 12 fields
cache creation input token cost
0*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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.*
cache read input token cost
2.6e-7*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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.*
input cost per token
1.4e-6*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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-5.1*
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
200,000*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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
128,000*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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-5.1*
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
4.4e-6*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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-5.1*
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 prompt caching
Yes*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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 reasoning
Yes*Scope and conditions
native_context
provider
zai*
mode
chat*
full_native_model_id
zai/glm-5.1*
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-5.1*
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.*