Model comparison

GPT-5.3 Chat vs Llama 3.2 1B

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 19.9 on the Noometry Index. Llama 3.2 1B costs 68× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified . 14 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Llama 3.2 1B Meta

19.9

Rank #349 Confirmed

Summary

  • They share 14 benchmarks with published results for both. GPT-5.3 Chat scores higher in 8 categories and Llama 3.2 1B 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 21.4.
  • Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
  • GPT-5.3 Chat accepts more context: 128K tokens versus 60K.
  • Llama 3.2 1B has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 Chat and Llama 3.2 1B specifications
GPT-5.3 ChatLlama 3.2 1B
ProviderOpenAIMeta
Noometry Index42.119.9
Released2026-03-032024-09-24
WeightsProprietaryOpen
Context window128K60K
Max output16K54K
Input $ / M tokens$1.75$0.027
Output $ / M tokens$14$0.20
Results tracked1822

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Category by category

Coding GPT-5.3 Chat leads

GPT-5.3 Chat: 40.8 (#124), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Coding14081071
BigCodeBench Instruct—8.2%
BigCodeBench Complete—11.3%

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
Berkeley Function Calling Leaderboard—10.8%
BALROG—6.6%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Hard Prompts13991044
Chess Puzzles—0%
Epoch Capabilities Index—101.95

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 35.4 (#146), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Math13891086
OTIS Mock AIME 2024-2025—0.6%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#137), Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Expert13971007
GPQA Diamond—23.9%

Multilingual GPT-5.3 Chat leads

GPT-5.3 Chat: 50.5 (#119), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Non-English1383973
LMArena Chinese1433958
LMArena German13841014
LMArena Russian1400941
LMArena French1398—
LMArena Japanese1351—
LMArena Korean1347—
LMArena Spanish1371—

Instruction Following GPT-5.3 Chat leads

GPT-5.3 Chat: 73.0 (#124), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Instruction Following13781031

Long Context GPT-5.3 Chat leads

GPT-5.3 Chat: 42.6 (#115), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Longer Query13961050

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.3 (#65), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
BenchmarkGPT-5.3 ChatLlama 3.2 1B
LMArena Text13891055
LMArena Creative Writing13561033
EQ-Bench Creative Writing1690200
LMArena Multi-Turn14131030

Frequently asked questions

Is GPT-5.3 Chat better than Llama 3.2 1B?

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 19.9 on the Noometry Index. Llama 3.2 1B costs 68× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

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

Is GPT-5.3 Chat or Llama 3.2 1B better for coding?

GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

GPT-5.3 Chat does, with 128K tokens against 60K.

How many benchmarks do GPT-5.3 Chat and Llama 3.2 1B share?

14 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Llama 3.2 1B has 22.

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