Model comparison

GPT-5.5 Pro vs Llama 3.2 1B

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 19.9 on the Noometry Index. Llama 3.2 1B costs 957× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified October 10, 2026. 4 shared benchmarks.

GPT-5.5 Pro OpenAI

64.3

Rank #7 Confirmed

Llama 3.2 1B

Summary

They share 4 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Llama 3.2 1B in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in math, where GPT-5.5 Pro leads 83.8 to 9.7.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 0.6% for Llama 3.2 1B.
Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
GPT-5.5 Pro accepts more context: 1.05M tokens versus 60K.
Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

GPT-5.5 Pro and Llama 3.2 1B specifications
	GPT-5.5 Pro	Llama 3.2 1B
Provider	OpenAI	Meta
Noometry Index	64.3	19.9
Released	2026-04-23	2024-09-24
Weights	Proprietary	Open
Context window	1.05M	60K
Max output	128K	54K
Input $ / M tokens	$30	$0.027
Output $ / M tokens	$180	$0.20
Results tracked	14	22

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Category by category

Coding Not comparable

GPT-5.5 Pro: —, Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
BigCodeBench Instruct	—	8.2%
LMArena Coding	—	1071
BigCodeBench Complete	—	11.3%

Agentic & Tool Use Not comparable

GPT-5.5 Pro: —, Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
Berkeley Function Calling Leaderboard	—	10.8%
BALROG	—	6.6%

Reasoning GPT-5.5 Pro leads

GPT-5.5 Pro: 73.6 (#7), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
Chess Puzzles	64%	0%
Epoch Capabilities Index	162.45	101.95
ARC-AGI-2	84.6%	—
SimpleBench	76.9%	—
ARC-AGI-1	96.5%	—
CritPt	30.6%	—
LMArena Hard Prompts	—	1044
DTBench	96%	—
LMCA	53.9%	—

Math GPT-5.5 Pro leads

GPT-5.5 Pro: 83.8 (#8), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
OTIS Mock AIME 2024-2025	100%	0.6%
FrontierMath (Tiers 1-3)	87.7%	—
FrontierMath Tier 4	78%	—
LMArena Math	—	1086
FrontierMath (Feb 2025 set)	52.4%	—
FrontierMath Tier 4 (v1)	39.6%	—

Knowledge GPT-5.5 Pro leads

GPT-5.5 Pro: 64.2 (#17), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
GPQA Diamond	93.9%	23.9%
LMArena Expert	—	1007

Multilingual Not comparable

GPT-5.5 Pro: —, Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
LMArena Non-English	—	973
LMArena Chinese	—	958
LMArena German	—	1014
LMArena Russian	—	941

Instruction Following Not comparable

GPT-5.5 Pro: —, Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
LMArena Instruction Following	—	1031

Long Context Not comparable

GPT-5.5 Pro: —, Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
LMArena Longer Query	—	1050

Writing & Preference Not comparable

GPT-5.5 Pro: —, Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
Benchmark	GPT-5.5 Pro	Llama 3.2 1B
LMArena Text	—	1055
LMArena Creative Writing	—	1033
EQ-Bench Creative Writing	—	200
LMArena Multi-Turn	—	1030

Frequently asked questions

Is GPT-5.5 Pro better than Llama 3.2 1B?

Which is cheaper, GPT-5.5 Pro or Llama 3.2 1B?

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 60K.

How many benchmarks do GPT-5.5 Pro and Llama 3.2 1B share?

4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Llama 3.2 1B has 22.