Model comparison

GPT-5.3 Chat vs Llama 3.2 3B

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 28.4 on the Noometry Index. Llama 3.2 3B costs 40× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified October 10, 2026. 14 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Llama 3.2 3B

Summary

They share 14 benchmarks with published results for both. GPT-5.3 Chat 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 GPT-5.3 Chat leads 63.3 to 24.9.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
Llama 3.2 3B accepts more context: 131K tokens versus 128K.
Llama 3.2 3B has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 Chat and Llama 3.2 3B specifications
	GPT-5.3 Chat	Llama 3.2 3B
Provider	OpenAI	Meta
Noometry Index	42.1	28.4
Released	2026-03-03	2024-09-24
Weights	Proprietary	Open
Context window	128K	131K
Max output	16K	118K
Input $ / M tokens	$1.75	$0.05
Output $ / M tokens	$14	$0.33
Results tracked	18	18

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 40.8 (#124), Llama 3.2 3B: 27.1 (#314)

Coding benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Coding	1408	1098
BigCodeBench Instruct	—	23.4%
BigCodeBench Complete	—	28.3%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Llama 3.2 3B: 19.9 (#135)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
Berkeley Function Calling Leaderboard	—	21.9%
BALROG	—	10.1%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Llama 3.2 3B: 20.1 (#225)

Reasoning benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Hard Prompts	1399	1095

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 35.4 (#146), Llama 3.2 3B: 29.9 (#213)

Math benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Math	1389	1126

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#137), Llama 3.2 3B: 29.1 (#232)

Knowledge benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Expert	1397	1090

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.5 (#119), Llama 3.2 3B: 26.4 (#276)

Multilingual benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Non-English	1383	1019
LMArena Chinese	1433	1017
LMArena German	1384	1056
LMArena Russian	1400	949
LMArena French	1398	—
LMArena Japanese	1351	—
LMArena Korean	1347	—
LMArena Spanish	1371	—

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 73.0 (#124), Llama 3.2 3B: 56.3 (#270)

Instruction Following benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Instruction Following	1378	1089

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#115), Llama 3.2 3B: 33.4 (#256)

Long Context benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Longer Query	1396	1101

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.3 (#65), Llama 3.2 3B: 24.9 (#302)

Writing & Preference benchmarks
Benchmark	GPT-5.3 Chat	Llama 3.2 3B
LMArena Text	1389	1110
LMArena Creative Writing	1356	1094
EQ-Bench Creative Writing	1690	595
LMArena Multi-Turn	1413	1105

Frequently asked questions

Is GPT-5.3 Chat better than Llama 3.2 3B?

Which is cheaper, GPT-5.3 Chat 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; GPT-5.3 Chat lists at $1.75 and $14.

Is GPT-5.3 Chat or Llama 3.2 3B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 27.1 in the Noometry coding category.

Which has the bigger context window?

Llama 3.2 3B does, with 131K tokens against 128K.

How many benchmarks do GPT-5.3 Chat and Llama 3.2 3B share?

14 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 3.2 3B has 18.