Model comparison

GPT-6 Sol vs Llama 3.2 1B

GPT-6 Sol is the stronger model overall, scoring 49.2 to 19.9 on the Noometry Index. Llama 3.2 1B costs 57× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.

Last verified October 10, 2026. 13 shared benchmarks.

GPT-6 Sol OpenAI

49.2

Rank #46 Confirmed

Llama 3.2 1B

Summary

They share 13 benchmarks with published results for both. GPT-6 Sol scores higher in 9 categories and Llama 3.2 1B in 0 categories; 9 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GPT-6 Sol leads 72.3 to 21.4.
Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
GPT-6 Sol 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-6 Sol and Llama 3.2 1B specifications
	GPT-6 Sol	Llama 3.2 1B
Provider	OpenAI	Meta
Noometry Index	49.2	19.9
Released	2026-09-22	2024-09-24
Weights	Proprietary	Open
Context window	1.05M	60K
Max output	128K	54K
Input $ / M tokens	$2	$0.027
Output $ / M tokens	$10	$0.20
Results tracked	22	22

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Category by category

Coding GPT-6 Sol leads

GPT-6 Sol: 59.6 (#11), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Coding	1453	1071
DeepSWE	68.8%	—
FrontierCode	49.3%	—
LMArena WebDev	1692	—
BigCodeBench Instruct	—	8.2%
BigCodeBench Complete	—	11.3%

Agentic & Tool Use GPT-6 Sol leads

GPT-6 Sol: 33.5 (#49), Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
Berkeley Function Calling Leaderboard	—	10.8%
BALROG	—	6.6%
GDP.pdf	28%	—

Reasoning GPT-6 Sol leads

GPT-6 Sol: 49.3 (#34), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Hard Prompts	1420	1044
NYT Connections (extended)	90.1%	—
Chess Puzzles	—	0%
EBR-Bench	53.3%	—
Epoch Capabilities Index	—	101.95

Math GPT-6 Sol leads

GPT-6 Sol: 35.8 (#135), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Math	1404	1086
OTIS Mock AIME 2024-2025	—	0.6%

Knowledge GPT-6 Sol leads

GPT-6 Sol: 43.0 (#87), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Expert	1449	1007
GPQA Diamond	—	23.9%
Vectara Hallucination Rate	6.5%	—

Multimodal Not comparable

GPT-6 Sol: 47.6 (#9), Llama 3.2 1B: —

Multimodal benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
Furniture Assembly	58.3%	—

Multilingual GPT-6 Sol leads

GPT-6 Sol: 51.0 (#113), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Non-English	1389	973
LMArena Chinese	1416	958
LMArena Russian	1407	941
LMArena German	—	1014
LMArena Spanish	1377	—

Instruction Following GPT-6 Sol leads

GPT-6 Sol: 74.4 (#97), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Instruction Following	1406	1031

Long Context GPT-6 Sol leads

GPT-6 Sol: 43.2 (#100), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Longer Query	1415	1050

Writing & Preference GPT-6 Sol leads

GPT-6 Sol: 72.3 (#15), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
Benchmark	GPT-6 Sol	Llama 3.2 1B
LMArena Text	1396	1055
LMArena Creative Writing	1392	1033
EQ-Bench Creative Writing	2125	200
LMArena Multi-Turn	1405	1030

Frequently asked questions

Is GPT-6 Sol better than Llama 3.2 1B?

Which is cheaper, GPT-6 Sol 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-6 Sol lists at $2 and $10.

Is GPT-6 Sol or Llama 3.2 1B better for coding?

GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 60K.

How many benchmarks do GPT-6 Sol and Llama 3.2 1B share?

13 benchmarks have published results for both models. GPT-6 Sol has 22 scored results on Noometry and Llama 3.2 1B has 22.