Model comparison

Llama 13b vs o3

o3 is the stronger model overall, scoring 47.5 to 24.4 on the Noometry Index.

Last verified . 9 shared benchmarks.

Llama 13b Meta

24.4

Rank #348 Confirmed

o3 OpenAI

47.5

Rank #61 Confirmed

Summary

  • They share 9 benchmarks with published results for both. Llama 13b scores higher in 0 categories and o3 in 6 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where o3 leads 63.5 to 13.8.
  • Llama 13b has downloadable open weights; the other is API-only.

Side by side

Llama 13b and o3 specifications
Llama 13bo3
ProviderMetaOpenAI
Noometry Index24.447.5
Released2023-02-242025-04-16
WeightsOpenProprietary
Context window—200K
Max output—100K
Input $ / M tokens—$2
Output $ / M tokens—$8
Results tracked2163

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Category by category

Coding o3 leads

Llama 13b: 21.4 (#337), o3: 46.8 (#64)

Coding benchmarks
BenchmarkLlama 13bo3
LMArena Coding6831408
SWE-bench Verified—62.3%
SWE-bench Verified (bash only)—58.4%
Aider Polyglot—81.3%
GSO—8.8%
WeirdML—52.4%
CadEval—74%
ALE-Bench—933.55

Agentic & Tool Use Not comparable

Llama 13b: —, o3: 34.5 (#44)

Agentic & Tool Use benchmarks
BenchmarkLlama 13bo3
Berkeley Function Calling Leaderboard—63%
GDPval—30.8%
DeepResearch Bench—45.2%
OSWorld—23%
LMArena Search—1144
METR Time Horizons—65.4%

Reasoning o3 leads

Llama 13b: 14.0 (#329), o3: 32.0 (#78)

Reasoning benchmarks
BenchmarkLlama 13bo3
LMArena Hard Prompts7281402
Epoch Capabilities Index100.58146.86
ARC-AGI-2—6.5%
SimpleBench—53.1%
Kagi LLM Benchmark—67.6%
ARC-AGI-1—60.8%
CritPt—1.4%
Chess Puzzles—38%
EnigmaEval—13.1%
Mystery Game Puzzles—29%
DTBench—84.8%
LMCA—39.7%
BIG-Bench Hard37.9%—
ForecastBench—62.5
HellaSwag79.2%—
LAMBADA75.2%—
PIQA80.1%—
WinoGrande73%—

Math o3 leads

Llama 13b: 26.7 (#256), o3: 50.2 (#58)

Math benchmarks
BenchmarkLlama 13bo3
LMArena Math8381426
FrontierMath (Tiers 1-3)—33.3%
OTIS Mock AIME 2024-2025—84.4%
Omni-MATH—71.4%
MATH Level 5—97.8%
FrontierMath (Feb 2025 set)—18.7%
FrontierMath Tier 4 (v1)—2.1%
GSM8K20.6%—

Knowledge Not comparable

Llama 13b: —, o3: 54.6 (#52)

Knowledge benchmarks
BenchmarkLlama 13bo3
GPQA Diamond—81.8%
Humanity's Last Exam—20.3%
SimpleQA Verified—49.4%
MMLU-Pro—85.9%
Confabulations—14.4%
GPQA (HELM)—75.3%
LMArena Expert—1402
ARC (AI2) Challenge52.7%—
BoolQ78.7%—
MMLU47.7%—
OpenBookQA56.4%—
TriviaQA77.9%—

Multimodal Not comparable

Llama 13b: —, o3: 41.4 (#36)

Multimodal benchmarks
BenchmarkLlama 13bo3
LMArena Vision—1214
GeoBench—74%
VPCT—52%
ScienceQA43.3%—

Multilingual o3 leads

Llama 13b: 16.6 (#297), o3: 51.7 (#105)

Multilingual benchmarks
BenchmarkLlama 13bo3
LMArena Non-English8191401
LMArena Chinese—1437
LMArena French—1430
LMArena German—1420
LMArena Japanese—1403
LMArena Korean—1370
LMArena Russian—1406
LMArena Spanish—1395

Instruction Following o3 leads

Llama 13b: 36.7 (#305), o3: 72.8 (#127)

Instruction Following benchmarks
BenchmarkLlama 13bo3
LMArena Instruction Following7811368
IFEval—86.9%

Long Context Not comparable

Llama 13b: —, o3: 53.3 (#6)

Long Context benchmarks
BenchmarkLlama 13bo3
Fiction.LiveBench—88.9%
CL-bench—17.8%
LMArena Longer Query—1372

Writing & Preference o3 leads

Llama 13b: 13.8 (#312), o3: 63.5 (#64)

Writing & Preference benchmarks
BenchmarkLlama 13bo3
LMArena Text8341410
LMArena Creative Writing7941359
LMArena Multi-Turn7531405
Short-Story Creative Writing—83.9%
EQ-Bench Creative Writing—1676
WildBench—86.1%

Frequently asked questions

Is Llama 13b better than o3?

o3 is the stronger model overall, scoring 47.5 to 24.4 on the Noometry Index.

Is Llama 13b or o3 better for coding?

o3 scores higher on coding benchmarks: 46.8 versus 21.4 in the Noometry coding category.

How many benchmarks do Llama 13b and o3 share?

9 benchmarks have published results for both models. Llama 13b has 21 scored results on Noometry and o3 has 63.

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