Model comparison

Grok 4.20 Multi-Agent vs Llama 3.2 3B

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 28.9 on the Noometry Index. Llama 3.2 3B costs 13× less per token, which makes it the better buy when Grok 4.20 Multi-Agent's lead doesn't matter for your workload.

Last verified October 10, 2026. 13 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Llama 3.2 3B

Summary

They share 13 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Llama 3.2 3B in 0 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 24.7.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 131K.
Llama 3.2 3B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-Agent and Llama 3.2 3B specifications
	Grok 4.20 Multi-Agent	Llama 3.2 3B
Provider	xAI	Meta
Noometry Index	46.2	28.9
Released	2026-03-09	2024-09-24
Weights	Proprietary	Open
Context window	1M	131K
Max output	30K	118K
Input $ / M tokens	$1.25	$0.05
Output $ / M tokens	$2.50	$0.33
Results tracked	20	18

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.0 (#92), Llama 3.2 3B: 27.6 (#319)

Coding benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Coding	1457	1098
BigCodeBench Instruct	—	23.4%
BigCodeBench Complete	—	28.3%

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Llama 3.2 3B: 20.1 (#143)

Agentic & Tool Use benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
Berkeley Function Calling Leaderboard	—	21.9%
BALROG	—	10.1%
LMArena Search	1204	—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Llama 3.2 3B: 21.0 (#228)

Reasoning benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Hard Prompts	1448	1095
NYT Connections (extended)	89.6%	—

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.4 (#104), Llama 3.2 3B: 32.4 (#214)

Math benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Math	1442	1126

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 40.4 (#119), Llama 3.2 3B: 29.7 (#235)

Knowledge benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Expert	1445	1090

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Llama 3.2 3B: —

Multimodal benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Vision	1259	—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.4 (#43), Llama 3.2 3B: 26.2 (#281)

Multilingual benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Non-English	1440	1019
LMArena Chinese	1475	1017
LMArena German	1456	1056
LMArena Russian	1457	949
LMArena French	1466	—
LMArena Japanese	1405	—
LMArena Korean	1416	—
LMArena Spanish	1447	—

Instruction Following Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 74.8 (#84), Llama 3.2 3B: 56.0 (#275)

Instruction Following benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Instruction Following	1420	1089

Long Context Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.7 (#88), Llama 3.2 3B: 33.4 (#261)

Long Context benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Longer Query	1431	1100

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.0 (#59), Llama 3.2 3B: 24.7 (#307)

Writing & Preference benchmarks
Benchmark	Grok 4.20 Multi-Agent	Llama 3.2 3B
LMArena Text	1450	1110
LMArena Creative Writing	1436	1094
LMArena Multi-Turn	1452	1105
EQ-Bench Creative Writing	—	595

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Llama 3.2 3B?

Which is cheaper, Grok 4.20 Multi-Agent or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

Is Grok 4.20 Multi-Agent or Llama 3.2 3B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 131K.

How many benchmarks do Grok 4.20 Multi-Agent and Llama 3.2 3B share?

13 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Llama 3.2 3B has 18.