Model comparison

GLM-5 vs Granite 3.1 2b Instruct

GLM-5 is the stronger model overall, scoring 46.1 to 33.2 on the Noometry Index.

Last verified . 12 shared benchmarks.

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Granite 3.1 2b Instruct IBM

33.2

Rank #247 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Granite 3.1 2b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5 leads 66.0 to 34.1.

Side by side

GLM-5 and Granite 3.1 2b Instruct specifications
GLM-5Granite 3.1 2b Instruct
ProviderZ.ai (Zhipu)IBM
Noometry Index46.133.2
Released2026-02-11—
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$1—
Output $ / M tokens$3.20—
Results tracked4512

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Category by category

Coding GLM-5 leads

GLM-5: 49.0 (#52), Granite 3.1 2b Instruct: 33.4 (#257)

Coding benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Coding14611149
SWE-bench Verified72.1%—
SWE-bench Verified (bash only)72.8%—
LMArena WebDev1434—
SWE-bench Multilingual69.7%—
WeirdML48.2%—
ALE-Bench765.62—

Agentic & Tool Use Not comparable

GLM-5: 31.1 (#71), Granite 3.1 2b Instruct: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
Terminal-Bench52.4%—
τ²-bench Airline82.5%—
τ²-bench Banking9.8%—
τ²-bench Retail73.7%—
τ²-bench Telecom86.8%—
Vending-Bench 24,432—

Reasoning GLM-5 leads

GLM-5: 27.6 (#116), Granite 3.1 2b Instruct: 22.0 (#209)

Reasoning benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Hard Prompts14521138
ARC-AGI-24.9%—
SimpleBench53.2%—
Kagi LLM Benchmark75%—
NYT Connections (extended)74.8%—
ARC-AGI-144.7%—
Chess Puzzles10%—
Epoch Capabilities Index145.83—
ForecastBench61—

Math GLM-5 leads

GLM-5: 46.4 (#71), Granite 3.1 2b Instruct: 33.1 (#206)

Math benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Math14401159
MathArena Final-Answer Competitions65.7%—
OTIS Mock AIME 2024-202580%—
FrontierMath (Feb 2025 set)16.4%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-5 leads

GLM-5: 52.3 (#64), Granite 3.1 2b Instruct: 30.8 (#224)

Knowledge benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Expert14541131
GPQA Diamond87.8%—
Vectara Hallucination Rate10.1%—

Multilingual GLM-5 leads

GLM-5: 53.7 (#58), Granite 3.1 2b Instruct: 29.1 (#269)

Multilingual benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Non-English14301068
LMArena Chinese15111139
LMArena Russian14361063
LMArena French1455—
LMArena German1445—
LMArena Japanese1416—
LMArena Korean1423—
LMArena Spanish1454—

Instruction Following GLM-5 leads

GLM-5: 75.2 (#67), Granite 3.1 2b Instruct: 57.7 (#264)

Instruction Following benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Instruction Following14281116

Long Context GLM-5 leads

GLM-5: 44.7 (#60), Granite 3.1 2b Instruct: 35.0 (#244)

Long Context benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Longer Query14461155
CL-bench18.7%—

Writing & Preference GLM-5 leads

GLM-5: 66.0 (#38), Granite 3.1 2b Instruct: 34.1 (#274)

Writing & Preference benchmarks
BenchmarkGLM-5Granite 3.1 2b Instruct
LMArena Text14461127
LMArena Creative Writing14391116
LMArena Multi-Turn14561099
EQ-Bench Creative Writing1601—

Frequently asked questions

Is GLM-5 better than Granite 3.1 2b Instruct?

GLM-5 is the stronger model overall, scoring 46.1 to 33.2 on the Noometry Index.

Is GLM-5 or Granite 3.1 2b Instruct better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 33.4 in the Noometry coding category.

How many benchmarks do GLM-5 and Granite 3.1 2b Instruct share?

12 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Granite 3.1 2b Instruct has 12.

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