Noometry

Model comparison

GLM-5 vs GLM-5.1

GLM-5.1 is the stronger model overall, scoring 47.8 to 46.1 on the Noometry Index.

Last verified . 32 shared benchmarks.

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Summary

  • They share 32 benchmarks with published results for both. GLM-5 scores higher in 2 categories and GLM-5.1 in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GLM-5.1 leads 39.1 to 27.6.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 80% for GLM-5 and 93.3% for GLM-5.1.
  • GLM-5 is cheaper at $1 / $3.20 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
  • GLM-5 accepts more context: 205K tokens versus 200K.

Side by side

GLM-5GLM-5.1
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index46.147.8
Released2026-02-112026-04-07
WeightsOpenOpen
Context window205K200K
Max output131K131K
Input $ / M tokens$1$1.40
Output $ / M tokens$3.20$4.40
Results tracked4541

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Category by category

Coding Too close to call

GLM-5: 49.0 (#52), GLM-5.1: 48.7 (#55)

BenchmarkGLM-5GLM-5.1
SWE-bench Verified72.1%74.2%
LMArena WebDev14341508
WeirdML48.2%57.1%
LMArena Coding14611485
ALE-Bench765.62887.1
SWE-bench Verified (bash only)72.8%—
SWE-bench Multilingual69.7%—
SciCode—43.8%

Agentic & Tool Use GLM-5 leads

GLM-5: 31.1 (#71), GLM-5.1: 24.9 (#113)

BenchmarkGLM-5GLM-5.1
Vending-Bench 24,4325,634
Terminal-Bench52.4%—
APEX-Agents—40.9%
τ²-bench Airline82.5%—
τ²-bench Banking9.8%—
τ²-bench Retail73.7%—
τ²-bench Telecom86.8%—
ExploitBench—18.1%
GBAEval—0%

Reasoning GLM-5.1 leads

GLM-5: 27.6 (#116), GLM-5.1: 39.1 (#60)

BenchmarkGLM-5GLM-5.1
SimpleBench53.2%55.1%
NYT Connections (extended)74.8%77.7%
Chess Puzzles10%19%
LMArena Hard Prompts14521472
Epoch Capabilities Index145.83149.84
ARC-AGI-24.9%—
Kagi LLM Benchmark75%—
ARC-AGI-144.7%—
CritPt—4.6%
Thematic Generalization—69.8%
ForecastBench61—

Math GLM-5.1 leads

GLM-5: 46.4 (#71), GLM-5.1: 49.7 (#60)

BenchmarkGLM-5GLM-5.1
MathArena Final-Answer Competitions65.7%67.1%
OTIS Mock AIME 2024-202580%93.3%
LMArena Math14401473
FrontierMath (Feb 2025 set)16.4%33.4%
FrontierMath Tier 4 (v1)2.1%12.5%
FrontierMath (Tiers 1-3)—36.8%
ProofBench—22.2%

Knowledge GLM-5.1 leads

GLM-5: 52.3 (#64), GLM-5.1: 54.9 (#50)

BenchmarkGLM-5GLM-5.1
GPQA Diamond87.8%89.9%
LMArena Expert14541476
SimpleQA Verified—34%
Vectara Hallucination Rate10.1%—

Multilingual GLM-5.1 leads

GLM-5: 53.7 (#58), GLM-5.1: 55.0 (#36)

BenchmarkGLM-5GLM-5.1
LMArena Non-English14301447
LMArena Chinese15111515
LMArena French14551474
LMArena German14451465
LMArena Japanese14161434
LMArena Korean14231418
LMArena Russian14361454
LMArena Spanish14541469

Instruction Following GLM-5.1 leads

GLM-5: 75.2 (#67), GLM-5.1: 76.3 (#42)

BenchmarkGLM-5GLM-5.1
LMArena Instruction Following14281451

Long Context Too close to call

GLM-5: 44.7 (#60), GLM-5.1: 44.9 (#53)

BenchmarkGLM-5GLM-5.1
LMArena Longer Query14461466
CL-bench18.7%—

Writing & Preference Too close to call

GLM-5: 66.0 (#38), GLM-5.1: 66.9 (#31)

BenchmarkGLM-5GLM-5.1
LMArena Text14461461
LMArena Creative Writing14391453
EQ-Bench Creative Writing16011592
LMArena Multi-Turn14561472

Frequently asked questions

Is GLM-5 better than GLM-5.1?

GLM-5.1 is the stronger model overall, scoring 47.8 to 46.1 on the Noometry Index.

Which is cheaper, GLM-5 or GLM-5.1?

GLM-5 is cheaper. It lists at $1 per million input tokens and $3.20 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.

Is GLM-5 or GLM-5.1 better for coding?

They score almost the same on coding (49.0 vs 48.7); test both on your own repository before choosing.

Which has the bigger context window?

GLM-5 does, with 205K tokens against 200K.

How many benchmarks do GLM-5 and GLM-5.1 share?

32 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and GLM-5.1 has 41.

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