Model comparison

Gemma 1.1 7b IT vs GLM-5

GLM-5 is the stronger model overall, scoring 46.1 to 31.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemma 1.1 7b IT Google

31.3

Rank #277 Confirmed

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 0 categories and GLM-5 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5 leads 66.0 to 30.4.

Side by side

Gemma 1.1 7b IT and GLM-5 specifications
Gemma 1.1 7b ITGLM-5
ProviderGoogleZ.ai (Zhipu)
Noometry Index31.346.1
Released—2026-02-11
WeightsOpenOpen
Context window—205K
Max output—131K
Input $ / M tokens—$1
Output $ / M tokens—$3.20
Results tracked1945

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Category by category

Coding GLM-5 leads

Gemma 1.1 7b IT: 31.5 (#284), GLM-5: 49.0 (#52)

Coding benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Coding10841461
SWE-bench Verified—72.1%
SWE-bench Verified (bash only)—72.8%
LMArena WebDev—1434
SWE-bench Multilingual—69.7%
WeirdML—48.2%
ALE-Bench—765.62
HumanEval+35.4%—
MBPP+45%—

Agentic & Tool Use Not comparable

Gemma 1.1 7b IT: —, GLM-5: 31.1 (#71)

Agentic & Tool Use benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
Terminal-Bench—52.4%
τ²-bench Airline—82.5%
τ²-bench Banking—9.8%
τ²-bench Retail—73.7%
τ²-bench Telecom—86.8%
Vending-Bench 2—4,432

Reasoning GLM-5 leads

Gemma 1.1 7b IT: 20.5 (#238), GLM-5: 27.6 (#116)

Reasoning benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Hard Prompts10711452
ARC-AGI-2—4.9%
SimpleBench—53.2%
Kagi LLM Benchmark—75%
NYT Connections (extended)—74.8%
ARC-AGI-1—44.7%
Chess Puzzles—10%
Epoch Capabilities Index—145.83
ForecastBench—61

Math GLM-5 leads

Gemma 1.1 7b IT: 32.0 (#220), GLM-5: 46.4 (#71)

Knowledge GLM-5 leads

Gemma 1.1 7b IT: 28.3 (#247), GLM-5: 52.3 (#64)

Knowledge benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Expert10391454
GPQA Diamond—87.8%
Vectara Hallucination Rate—10.1%

Multilingual GLM-5 leads

Gemma 1.1 7b IT: 28.1 (#273), GLM-5: 53.7 (#58)

Multilingual benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Non-English10521430
LMArena Chinese10611511
LMArena French10651455
LMArena German10541445
LMArena Japanese9711416
LMArena Korean9881423
LMArena Russian10461436
LMArena Spanish10491454

Instruction Following GLM-5 leads

Gemma 1.1 7b IT: 54.0 (#283), GLM-5: 75.2 (#67)

Instruction Following benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Instruction Following10571428

Long Context GLM-5 leads

Gemma 1.1 7b IT: 32.1 (#272), GLM-5: 44.7 (#60)

Long Context benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Longer Query10561446
CL-bench—18.7%

Writing & Preference GLM-5 leads

Gemma 1.1 7b IT: 30.4 (#288), GLM-5: 66.0 (#38)

Writing & Preference benchmarks
BenchmarkGemma 1.1 7b ITGLM-5
LMArena Text10941446
LMArena Creative Writing10601439
LMArena Multi-Turn10401456
EQ-Bench Creative Writing—1601

Frequently asked questions

Is Gemma 1.1 7b IT better than GLM-5?

GLM-5 is the stronger model overall, scoring 46.1 to 31.3 on the Noometry Index.

Is Gemma 1.1 7b IT or GLM-5 better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 31.5 in the Noometry coding category.

How many benchmarks do Gemma 1.1 7b IT and GLM-5 share?

17 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and GLM-5 has 45.

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