Model comparison

Granite 3.0 2b Instruct vs Grok 4.20 Multi-Agent

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 30.8 on the Noometry Index.

Last verified . 12 shared benchmarks.

Granite 3.0 2b Instruct IBM

30.8

Rank #286 Confirmed

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Granite 3.0 2b Instruct scores higher in 0 categories and Grok 4.20 Multi-Agent in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.0 to 29.6.
  • Granite 3.0 2b Instruct has downloadable open weights; the other is API-only.

Side by side

Granite 3.0 2b Instruct and Grok 4.20 Multi-Agent specifications
Granite 3.0 2b InstructGrok 4.20 Multi-Agent
ProviderIBMxAI
Noometry Index30.846.2
Released—2026-03-09
WeightsOpenProprietary
Context window—1M
Max output—30K
Input $ / M tokens—$1.25
Output $ / M tokens—$2.50
Results tracked1320

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 28.3 (#316), Grok 4.20 Multi-Agent: 43.0 (#92)

Coding benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Coding10901457
BigCodeBench Instruct20.5%—

Agentic & Tool Use Not comparable

Granite 3.0 2b Instruct: —, Grok 4.20 Multi-Agent: —

Agentic & Tool Use benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Search—1204

Reasoning Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 20.5 (#235), Grok 4.20 Multi-Agent: 43.9 (#48)

Reasoning benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Hard Prompts10731448
NYT Connections (extended)—89.6%

Math Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 32.2 (#217), Grok 4.20 Multi-Agent: 39.4 (#104)

Math benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Math11171442

Knowledge Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 29.0 (#241), Grok 4.20 Multi-Agent: 40.4 (#119)

Knowledge benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Expert10641445

Multimodal Not comparable

Granite 3.0 2b Instruct: —, Grok 4.20 Multi-Agent: 40.5 (#48)

Multimodal benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Vision—1259

Multilingual Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 27.0 (#278), Grok 4.20 Multi-Agent: 54.4 (#43)

Multilingual benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Non-English10331440
LMArena Chinese10701475
LMArena Russian10451457
LMArena French—1466
LMArena German—1456
LMArena Japanese—1405
LMArena Korean—1416
LMArena Spanish—1447

Instruction Following Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 53.9 (#284), Grok 4.20 Multi-Agent: 74.8 (#84)

Instruction Following benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Instruction Following10561420

Long Context Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 32.5 (#268), Grok 4.20 Multi-Agent: 43.7 (#88)

Long Context benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Longer Query10701431

Writing & Preference Grok 4.20 Multi-Agent leads

Granite 3.0 2b Instruct: 29.6 (#292), Grok 4.20 Multi-Agent: 64.0 (#59)

Writing & Preference benchmarks
BenchmarkGranite 3.0 2b InstructGrok 4.20 Multi-Agent
LMArena Text10801450
LMArena Creative Writing10461436
LMArena Multi-Turn10531452

Frequently asked questions

Is Granite 3.0 2b Instruct better than Grok 4.20 Multi-Agent?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 30.8 on the Noometry Index.

Is Granite 3.0 2b Instruct or Grok 4.20 Multi-Agent better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 28.3 in the Noometry coding category.

How many benchmarks do Granite 3.0 2b Instruct and Grok 4.20 Multi-Agent share?

12 benchmarks have published results for both models. Granite 3.0 2b Instruct has 13 scored results on Noometry and Grok 4.20 Multi-Agent has 20.

Related comparisons

Go deeper